Silke Hüttel, Wolfgang Britz
LAST-MODIFIED:20240417T124603Z SEQUENCE:51414191 X-ACCESS:1 X-HITS:456 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20211018T120000 DTEND;TZID=Europe/Berlin:20211018T130000 UID:06F92289-2F7F-4357-84FC-C128344C0C9B SUMMARY:Land Modeling in the Terrestrial Systems Modeling Platform (TSMP) CREATED:20220831T110116Z DTSTAMP:20220831T110116Z URL:https://sfb1502.de/component/dpcalendar/event/5?calid=15 DESCRIPTION:Stefan Kollet X-ALT-DESC;FMTTYPE=text/html:Stefan Kollet
LAST-MODIFIED:20240417T124607Z SEQUENCE:51414291 X-ACCESS:1 X-HITS:509 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20220110T120000 DTEND;TZID=Europe/Berlin:20220110T130000 UID:62732CBC-8B8C-4A49-A2C3-63C4DC50D8AB SUMMARY:Soil water content measurements across scales CREATED:20220831T110728Z DTSTAMP:20220831T110728Z URL:https://sfb1502.de/component/dpcalendar/event/7?calid=15 DESCRIPTION:Sander Huisman X-ALT-DESC;FMTTYPE=text/html:Sander Huisman
LAST-MODIFIED:20240417T124611Z SEQUENCE:51413923 X-ACCESS:1 X-HITS:604 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20221017T101500 DTEND;TZID=Europe/Berlin:20221017T113000 UID:78285D67-87ED-44F1-AEBA-4C992B688148 SUMMARY:Land and Climate Seminar - Soil-plant-atmosphere modelling at organ scale CREATED:20220817T132640Z DTSTAMP:20220817T132640Z URL:http://detect.polystage.de/component/dpcalendar/event/30?calid=40 DESCRIPTION:Speaker: Guilleaume Lobet, Juan Baca CabreraProject: C02 X-ALT-DESC;FMTTYPE=text/html:Speaker: Guilleaume Lobet, Juan Baca Cabrera
Project: C02
Speaker: Jürgen Kusche, Charlotte Hacker
Project: C03
Speaker: Hugo Storm, Josef Baumert
Project: B04
Speaker: guest speaker invited by cluster A
Project: Cluster A
Speaker: Thomas Gaiser, Dominik Behrend
Project: C02
Speaker: Jan Börner, Marco Ferro
Project: A06
Speaker: Wulf Amelung, Heike Schimmel
Project: C03
Speaker: Wolfgang Britz, Theresa Göbel
Project: D01
Speaker: Stefan Siebert, Wanxue Zhu
Project: B05
LAST-MODIFIED:20240416T145622Z SEQUENCE:32507840 X-ACCESS:1 X-HITS:454 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230522T101500 DTEND;TZID=Europe/Berlin:20230522T113000 UID:32A7F4BC-D150-4342-8732-FCC0F511D017 SUMMARY:Land and Climate Seminar - “Plant functional type-specific and temporally resolved isotopic ET partitioning” CREATED:20220817T132640Z DTSTAMP:20220817T132640Z URL:http://detect.polystage.de/component/dpcalendar/event/35?calid=40 DESCRIPTION:Speaker: Nicolas Brüggemann, Youri Rothfuss, Daniel SchulzProject: A03 X-ALT-DESC;FMTTYPE=text/html:Speaker: Nicolas Brüggemann, Youri Rothfuss, Daniel Schulz
Project: A03
Speaker: Carsten Montzka, Visakh Sivaprasad
Project: C01
LAST-MODIFIED:20240416T145743Z SEQUENCE:32507760 X-ACCESS:1 X-HITS:1683 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230619T110000 DTEND;TZID=Europe/Berlin:20230619T120000 UID:59266075-B25B-4927-9AFC-DA58B0B6CA19 SUMMARY:Land and Climate Seminar - Identifying Uncertainty Sources in Simulated CLM5 Ensemble Simulations CREATED:20230406T090352Z DTSTAMP:20230406T090352Z URL:http://detect.polystage.de/component/dpcalendar/event/80?calid=40 DESCRIPTION:Speaker: Harrie-Jan Hendricks-Franssen, Fernand Eloundou\NProject: C03 X-ALT-DESC;FMTTYPE=text/html:Speaker: Harrie-Jan Hendricks-Franssen, Fernand Eloundou
Project: C03
LAST-MODIFIED:20240416T145930Z SEQUENCE:32507738 X-ACCESS:1 X-HITS:532 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230626T101500 DTEND;TZID=Europe/Berlin:20230626T113000 UID:99956D96-78AD-4F6E-8E25-45E3310FB61C SUMMARY:Land and Climate Seminar - Connecting near-saturated hydraulic conductivity to soil aggregation under different land uses CREATED:20230406T090648Z DTSTAMP:20230406T090648Z URL:http://detect.polystage.de/component/dpcalendar/event/81?calid=40 DESCRIPTION:Speaker: Sara Bauke, Wulf Amelung, Dymphie Burger\NProject: A01 X-ALT-DESC;FMTTYPE=text/html:Speaker: Sara Bauke, Wulf Amelung, Dymphie Burger
Project: A01
LAST-MODIFIED:20240416T150047Z SEQUENCE:32507639 X-ACCESS:1 X-HITS:485 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230710T101500 DTEND;TZID=Europe/Berlin:20230710T113000 UID:DD138D93-CB4C-4132-8096-CA9990257F4D SUMMARY:Land and Climate Seminar - Development and Evaluation of (Regional) Reanalysis CREATED:20230512T112942Z DTSTAMP:20230512T112942Z URL:http://detect.polystage.de/component/dpcalendar/event/2991?calid=40 DESCRIPTION:Speaker: Bernd Schalge, Jan Keller\NProject: D03 X-ALT-DESC;FMTTYPE=text/html:Speaker: Bernd Schalge, Jan Keller
Project: D03
LAST-MODIFIED:20240416T150137Z SEQUENCE:29388715 X-ACCESS:1 X-HITS:472 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231016T101500 DTEND;TZID=Europe/Berlin:20231016T113000 UID:5127B56E-7677-40EF-ABE0-9508EF4A73C8 SUMMARY:Land and Climate Seminar - Deep generative networks for detecting anomalous events in the water cycle CREATED:20230713T152232Z DTSTAMP:20230713T152232Z URL:https://sfb1502.de/component/dpcalendar/event/2996?calid=15 DESCRIPTION:Speaker: Jürgen Gall, Hakam Shams EddinProject: D05 X-ALT-DESC;FMTTYPE=text/html:Speaker: Jürgen Gall, Hakam Shams Eddin
Project: D05
X-ACCESS:1 X-HITS:138 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231023T101500 DTEND;TZID=Europe/Berlin:20231023T113000 UID:4E88E251-4DB7-4DBB-A7B2-1A0EF1A84F26 SUMMARY:Land and Climate Seminar - Observing river discharge and water storage from space CREATED:20230714T081139Z DTSTAMP:20230714T081139Z URL:https://sfb1502.de/component/dpcalendar/event/2997?calid=15 DESCRIPTION:Speaker: Luciana Fenoglio, Hakan Uyanik\NProject: B01 X-ALT-DESC;FMTTYPE=text/html:Speaker: Luciana Fenoglio, Hakan Uyanik
Project: B01
LAST-MODIFIED:20240417T160651Z SEQUENCE:24047712 X-ACCESS:1 X-HITS:382 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231030T101500 DTEND;TZID=Europe/Berlin:20231030T113000 UID:0E25919C-93D1-449F-AE2A-A24F718A7567 SUMMARY:Land and Climate Seminar - Land Cover Classification from Sparsely Annotated Satellite Imagery CREATED:20230714T085852Z DTSTAMP:20230714T085852Z URL:https://sfb1502.de/component/dpcalendar/event/2998?calid=15 DESCRIPTION:Speaker: Ribana Roscher, Johannes Leonhardt\NProject: B03 X-ALT-DESC;FMTTYPE=text/html:Speaker: Ribana Roscher, Johannes Leonhardt
Project: B03
LAST-MODIFIED:20240417T160718Z SEQUENCE:24044906 X-ACCESS:1 X-HITS:513 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231106T101500 DTEND;TZID=Europe/Berlin:20231106T113000 UID:3FD08540-BF87-4515-A7CC-E34B857A749A SUMMARY:Land and Climate Seminar - Farms' climate change adaptations as investment decisions: A real options analysis CREATED:20230714T090404Z DTSTAMP:20230714T090404Z URL:https://sfb1502.de/component/dpcalendar/event/3000?calid=15 DESCRIPTION:Speaker: Silke Hüttel, Stefan Seifert, Wataru KodamaProject: A05 X-ALT-DESC;FMTTYPE=text/html:Speaker: Silke Hüttel, Stefan Seifert, Wataru Kodama
Project: A05
LAST-MODIFIED:20231016T055817Z SEQUENCE:8110453 X-ACCESS:1 X-HITS:124 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231127T101500 DTEND;TZID=Europe/Berlin:20231127T104500 UID:54C9DDA4-D252-4B00-BB04-751C653418A8 SUMMARY:Land and Climate Seminar - How much can we learn from the expensive carbon cycle spinups of CLM5 across Europe? CREATED:20231030T151030Z DTSTAMP:20231030T151030Z URL:https://sfb1502.de/component/dpcalendar/event/3046?calid=15 DESCRIPTION:Speaker: Hao Chen X-ALT-DESC;FMTTYPE=text/html:Speaker: Hao Chen
LAST-MODIFIED:20240417T160808Z SEQUENCE:14691458 X-ACCESS:1 X-HITS:495 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231204T101500 DTEND;TZID=Europe/Berlin:20231204T113000 UID:06A7C671-F9B4-4B0C-92BD-AC6D8FF5E60C SUMMARY:Land and Climate Seminar - Water mass fluxes and budgets CREATED:20230714T090013Z DTSTAMP:20230714T090013Z URL:https://sfb1502.de/component/dpcalendar/event/2999?calid=15 DESCRIPTION:Speaker: Jürgen Kusche, Benjamin Gutknecht\NProject: D07\NBen is going to present the current state of the budget analysis framework for validation of water-mass related fluxes across the atmos-terrestrial boundary over large river basins. Systematic assessments and product cross-validation can help to identify data-inherent biases, such as offsets or phase shifts in parameters like Total Precipitation, Evapotranspiration, Terrestrial Water Storage, or River Discharge. D07 iterates these information back with producers/modellers/users so we can jointly try to understand causes. The framework might also help validate certain CRC-scenarios by means of evaluating the mis-closure of the water flux budget equation. X-ALT-DESC;FMTTYPE=text/html:Speaker: Jürgen Kusche, Benjamin Gutknecht
Project: D07
Ben is going to present the current state of the budget analysis framework for validation of water-mass related fluxes across the atmos-terrestrial boundary over large river basins. Systematic assessments and product cross-validation can help to identify data-inherent biases, such as offsets or phase shifts in parameters like Total Precipitation, Evapotranspiration, Terrestrial Water Storage, or River Discharge. D07 iterates these information back with producers/modellers/users so we can jointly try to understand causes. The framework might also help validate certain CRC-scenarios by means of evaluating the mis-closure of the water flux budget equation.
LAST-MODIFIED:20240417T160818Z SEQUENCE:24044885 X-ACCESS:1 X-HITS:475 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231211T101500 DTEND;TZID=Europe/Berlin:20231211T113000 UID:50D2366E-45A2-4C63-AAF4-F004ECB2C6A5 SUMMARY:Land and Climate Seminar - Interactions between deforestration, regional climate change and agricultural production in the brazilian amazon and cerrado biomes CREATED:20231110T133816Z DTSTAMP:20231110T133816Z URL:https://sfb1502.de/component/dpcalendar/event/3048?calid=15 DESCRIPTION:Speaker: Dr. Argemiro Teixeira X-ALT-DESC;FMTTYPE=text/html:Speaker: Dr. Argemiro Teixeira
LAST-MODIFIED:20240417T160855Z SEQUENCE:13746639 X-ACCESS:1 X-HITS:543 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20240708T101500 DTEND;TZID=Europe/Berlin:20240708T113000 UID:FE2DA963-A44D-48A2-8BB1-2CE915C04493 SUMMARY:Land and Climate Seminar - Remote sensing-based crop classification and mapping CREATED:20230921T100531Z DTSTAMP:20230921T100531Z URL:https://sfb1502.de/component/dpcalendar/event/3042?calid=15 DESCRIPTION:Speaker: Elif Dönmez\NProject: B04 X-ALT-DESC;FMTTYPE=text/html:Speaker: Elif Dönmez
Project: B04
LAST-MODIFIED:20240703T145736Z SEQUENCE:24727925 X-ACCESS:1 X-HITS:667 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250310T101500 DTEND;TZID=Europe/Berlin:20250310T113000 UID:075FBBD0-5875-4C39-9812-027713184BAB SUMMARY:Land and Climate Seminar - Revealing features of root water transport with a keyboard and pipettes CREATED:20250213T165213Z DTSTAMP:20250213T165213Z URL:https://www.sfb1502.de/component/dpcalendar/event/236?calid=44 DESCRIPTION:Speaker: Yann Boursiac\NOur group aims to better understand water uptake and transport by plant roots. To this end, we have combined technological developments and modeling approaches. I will present some of our advances related to barriers of the cell wall and a new model-based phenotyping approach that allows the determination of both radial and axial hydraulic properties on the same plant. X-ALT-DESC;FMTTYPE=text/html:Speaker: Yann Boursiac
Our group aims to better understand water uptake and transport by plant roots. To this end, we have combined technological developments and modeling approaches. I will present some of our advances related to barriers of the cell wall and a new model-based phenotyping approach that allows the determination of both radial and axial hydraulic properties on the same plant.
LAST-MODIFIED:20250221T125447Z SEQUENCE:676954 X-ACCESS:1 X-HITS:454 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250317T101500 DTEND;TZID=Europe/Berlin:20250317T113000 UID:9AC9B9CC-1488-4A86-847A-33FB4D89CC57 SUMMARY:Land and Climate Seminar - Intensification of Cropping Systems in the Face of Climate Change: The Case of West Africa CREATED:20250213T160738Z DTSTAMP:20250213T160738Z URL:https://www.sfb1502.de/component/dpcalendar/event/234?calid=44 DESCRIPTION:Speaker: Dilys Sefakor MacCarthy\NThe expansion of agricultural land is a key contributor to changes in land use in West Africa, where Agriculture plays a major role in the economy, providing food and livelihoods for a large segment of the population. The expansion is primarily driven by the increasing demand for food due to a growing population, coupled with continuous soil degradation which results in low productivity. The rapid expansion combined with unsustainable management practices, threatens the long-term sustainability of agri-food systems and, consequently, food security. To address these challenges, concrete steps must be taken to promote the sustainable intensification of food systems. Snapshots of studies on intensification in the context of climate change within smallholder systems are presented to re-ignite the discussion on sustainable intensification. X-ALT-DESC;FMTTYPE=text/html:Speaker: Dilys Sefakor MacCarthy
The expansion of agricultural land is a key contributor to changes in land use in West Africa, where Agriculture plays a major role in the economy, providing food and livelihoods for a large segment of the population. The expansion is primarily driven by the increasing demand for food due to a growing population, coupled with continuous soil degradation which results in low productivity. The rapid expansion combined with unsustainable management practices, threatens the long-term sustainability of agri-food systems and, consequently, food security. To address these challenges, concrete steps must be taken to promote the sustainable intensification of food systems. Snapshots of studies on intensification in the context of climate change within smallholder systems are presented to re-ignite the discussion on sustainable intensification.
LAST-MODIFIED:20250313T075336Z SEQUENCE:2389558 X-ACCESS:1 X-HITS:394 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250407T101500 DTEND;TZID=Europe/Berlin:20250407T113000 UID:3AA8CE8E-2DA1-4D9C-854E-22C9629C7DDE SUMMARY:Land and Climate Seminar - The crucial role of plant hydraulics when modelling impacts of drought to forest ecosystems CREATED:20250213T164020Z DTSTAMP:20250213T164020Z URL:https://www.sfb1502.de/component/dpcalendar/event/235?calid=44 DESCRIPTION:Speaker: Phillip Papastefanou\NProjected increases in drought frequency and intensity pose a severe threat to global forests. Current vegetation models often fall short in capturing the underlying physiological mechanisms driving plant responses and mortality during drought. This presentation demonstrates how plant hydraulics can be integrated into vegetation modeling. Using our approach, we show how physiological patterns can be improved, but also discuss the new challenges of parameter constraint. X-ALT-DESC;FMTTYPE=text/html:Speaker: Phillip Papastefanou
Projected increases in drought frequency and intensity pose a severe threat to global forests. Current vegetation models often fall short in capturing the underlying physiological mechanisms driving plant responses and mortality during drought. This presentation demonstrates how plant hydraulics can be integrated into vegetation modeling. Using our approach, we show how physiological patterns can be improved, but also discuss the new challenges of parameter constraint.
LAST-MODIFIED:20250217T152150Z SEQUENCE:340890 X-ACCESS:1 X-HITS:526 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250414T101500 DTEND;TZID=Europe/Berlin:20250414T113000 UID:AA53BA70-FBBA-40E2-9914-B73D15D3BC88 SUMMARY:Land and Climate Seminar - Climate and Landuse Impacts on Hydrological Processes in Ghana: State of Water Resources and its Management Strategies CREATED:20250325T155639Z DTSTAMP:20250325T155639Z URL:https://www.sfb1502.de/component/dpcalendar/event/246?calid=44 DESCRIPTION:Speaker: Leonard K. Amekudzi\NWest Africa's water resources face increasing stress due to climate change, population growth, and land use changes. Rising temperatures, unreliable rainfall, and pollution exacerbate water stress, threatening livelihoods and ecosystems. This study synthesizes recent findings from Ghana to examine the impacts of climate variability on key hydrological processes and inform water resource management strategies. The research integrates diverse methodologies – SWAT modelling, extreme value theory, climatic zoning, and soil and water conservation analysis – to address the region's complex hydrological issues. Studies show that the Pra River Basin, a key agricultural area, is vulnerable to climate change. Deforestation and urbanization threaten the climate and hydrology. Analysis of wet and dry spells in the Pra River catchment reveals an expected increase in both types of spells under various climate scenarios, with the most significant changes projected under high emissions scenarios. Frequent short spells affect the region's climate, and seasonal divergence influences deep convection. The findings about temporal climate variability can inform agricultural and water management practices. With river flows expected to decline and increased demands for freshwater, this study underscores the critical role of integrated strategies. Integrated strategies, capacity-building initiatives, and community-based adaptation, combined with effective governance, can create a resilient future for West African communities facing climate change... X-ALT-DESC;FMTTYPE=text/html:Speaker: Leonard K. Amekudzi
West Africa's water resources face increasing stress due to climate change, population growth, and land use changes. Rising temperatures, unreliable rainfall, and pollution exacerbate water stress, threatening livelihoods and ecosystems. This study synthesizes recent findings from Ghana to examine the impacts of climate variability on key hydrological processes and inform water resource management strategies. The research integrates diverse methodologies – SWAT modelling, extreme value theory, climatic zoning, and soil and water conservation analysis – to address the region's complex hydrological issues. Studies show that the Pra River Basin, a key agricultural area, is vulnerable to climate change. Deforestation and urbanization threaten the climate and hydrology. Analysis of wet and dry spells in the Pra River catchment reveals an expected increase in both types of spells under various climate scenarios, with the most significant changes projected under high emissions scenarios. Frequent short spells affect the region's climate, and seasonal divergence influences deep convection. The findings about temporal climate variability can inform agricultural and water management practices. With river flows expected to decline and increased demands for freshwater, this study underscores the critical role of integrated strategies. Integrated strategies, capacity-building initiatives, and community-based adaptation, combined with effective governance, can create a resilient future for West African communities facing climate change...
LAST-MODIFIED:20250331T084101Z SEQUENCE:492262 X-ACCESS:1 X-HITS:458 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250415T153000 DTEND;TZID=Europe/Berlin:20250415T170000 UID:B28D8208-7D1C-4463-A653-128611F4398F SUMMARY:Land and Climate Seminar - Geophysical inversions: data- and physics-based regularized solutions CREATED:20250407T143035Z DTSTAMP:20250407T143035Z URL:https://www.sfb1502.de/component/dpcalendar/event/247?calid=44 DESCRIPTION:Speaker: Peiliang Xu\NExcept for direct measurements, almost all geophysical problems are of inverse ill-posed nature. In this talk, we will first briefly explain some misuse of inverse problem theory in earth sciences. Then, we will briefly discuss three basic approaches to geophysical inverse problems, namely Bayesian methods, frequentists-based regularization and inequality-constrained (or physics-based) solutions. Bearing in mind the fcat that Akaike’s Bayesian information criterion (ABIC) has been widely used in inverse ill-posed problems but little has been done to investigate its statistical aspects, we present an alternative derivation of the marginal distribution of measurements for ABIC under the assumption of normal distributions and show that the principle of ABIC is to statistically estimate the variances of measurements and prior data by maximizing the marginal distribution of measurements. The determination of the regularization parameter with ABIC is essentially equivalent to estimating the relative weighting between measurements and prior data. In the category of data-driven methods, we usually refer them to (biased) regularization from the frequentist’s point of view. Since we often have some physical information on certain geophysical problems, we will show the importance of properly incorporating such information in terms of inequality constraints for geophysical inversions. Geodetic and seismological examples of are used to demonstrate potential problems and advantages of these different types of solution methods. X-ALT-DESC;FMTTYPE=text/html:Speaker: Peiliang Xu
Except for direct measurements, almost all geophysical problems are of inverse ill-posed nature. In this talk, we will first briefly explain some misuse of inverse problem theory in earth sciences. Then, we will briefly discuss three basic approaches to geophysical inverse problems, namely Bayesian methods, frequentists-based regularization and inequality-constrained (or physics-based) solutions. Bearing in mind the fcat that Akaike’s Bayesian information criterion (ABIC) has been widely used in inverse ill-posed problems but little has been done to investigate its statistical aspects, we present an alternative derivation of the marginal distribution of measurements for ABIC under the assumption of normal distributions and show that the principle of ABIC is to statistically estimate the variances of measurements and prior data by maximizing the marginal distribution of measurements. The determination of the regularization parameter with ABIC is essentially equivalent to estimating the relative weighting between measurements and prior data. In the category of data-driven methods, we usually refer them to (biased) regularization from the frequentist’s point of view. Since we often have some physical information on certain geophysical problems, we will show the importance of properly incorporating such information in terms of inequality constraints for geophysical inversions. Geodetic and seismological examples of are used to demonstrate potential problems and advantages of these different types of solution methods.
LAST-MODIFIED:20250407T144144Z SEQUENCE:669 X-ACCESS:1 X-HITS:419 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250505T101500 DTEND;TZID=Europe/Berlin:20250505T113000 UID:197C20BF-5B20-4C55-8E45-B5B6B5B2E6EC SUMMARY:Land and Climate Seminar - Adventures in terrestrial cryospheric data assimilation CREATED:20250217T140458Z DTSTAMP:20250217T140458Z URL:https://www.sfb1502.de/component/dpcalendar/event/237?calid=44 DESCRIPTION:Speaker: Kristoffer Aalstad\NIn this talk I will provide a guided tour of our adventures applying data assimilation to various terrestrial cryospheric problems. While the focus will primarily be on seasonal snow, I will also present some related developments for glacier and permafrost modeling. The role that targeted terrestrial cryospheric reanalysis can play in filling key observational gaps from both established and emerging Earth observations will be a recurring theme. This will be highlighted through examples from some ongoing work on trying to estimate global seasonal snow water equivalent using optical satellite data. Throughout the talk, I will provide several examples of combining machine learning and data assimilation to both speed up and enhance inference. Moreover, I will introduce some recent forays into hybrid and adaptive particle schemes as well as some experimental work on ensemble-based hierarchical inference. Through our adventures, I hope to showcase the still largely untapped potential that data assimilation holds for adding value to observations and constraining model uncertainty across a broader range of problems. X-ALT-DESC;FMTTYPE=text/html:Speaker: Kristoffer Aalstad
In this talk I will provide a guided tour of our adventures applying data assimilation to various terrestrial cryospheric problems. While the focus will primarily be on seasonal snow, I will also present some related developments for glacier and permafrost modeling. The role that targeted terrestrial cryospheric reanalysis can play in filling key observational gaps from both established and emerging Earth observations will be a recurring theme. This will be highlighted through examples from some ongoing work on trying to estimate global seasonal snow water equivalent using optical satellite data. Throughout the talk, I will provide several examples of combining machine learning and data assimilation to both speed up and enhance inference. Moreover, I will introduce some recent forays into hybrid and adaptive particle schemes as well as some experimental work on ensemble-based hierarchical inference. Through our adventures, I hope to showcase the still largely untapped potential that data assimilation holds for adding value to observations and constraining model uncertainty across a broader range of problems.
LAST-MODIFIED:20250430T202813Z SEQUENCE:6243795 X-ACCESS:1 X-HITS:458 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250512T161500 DTEND;TZID=Europe/Berlin:20250512T173000 UID:03F7FC96-4214-4F3B-86D9-D4A5D5E17BD5 SUMMARY:Land and Climate Seminar - Using satellite data to quantify patterns and effects of irrigation expansion in traditionally rainfed areas CREATED:20250303T101627Z DTSTAMP:20250303T101627Z URL:https://www.sfb1502.de/component/dpcalendar/event/242?calid=44 DESCRIPTION:Speaker: Jill Deines\NIn recent years, irrigation has been expanding in the traditionally rainfed and temperate US Corn Belt, a major global producer of maize and soybeans. Although still relatively rare on the landscape, it is important to quantify the drivers and effects of Corn Belt irrigation as farmers adapt to global change. Here we analyze satellite-derived annual maps of field-level irrigation expansion across the US Corn Belt since 1999 to better understand how and where irrigation is spreading, along with impacts to crop yields and regional Earth systems. X-ALT-DESC;FMTTYPE=text/html:Speaker: Jill Deines
In recent years, irrigation has been expanding in the traditionally rainfed and temperate US Corn Belt, a major global producer of maize and soybeans. Although still relatively rare on the landscape, it is important to quantify the drivers and effects of Corn Belt irrigation as farmers adapt to global change. Here we analyze satellite-derived annual maps of field-level irrigation expansion across the US Corn Belt since 1999 to better understand how and where irrigation is spreading, along with impacts to crop yields and regional Earth systems.
X-ACCESS:1 X-HITS:499 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250519T140000 DTEND;TZID=Europe/Berlin:20250519T151500 UID:72BF841F-3EB8-4939-B005-F77C22A0A414 SUMMARY:Land and Climate Seminar - Deep Learning for Predicting Counterfactual Deforestation in Protected Areas in the Amazon CREATED:20250313T143911Z DTSTAMP:20250313T143911Z URL:https://www.sfb1502.de/component/dpcalendar/event/244?calid=44 DESCRIPTION:Speaker: Kathy Baylis\NDeep Learning for Predicting Counterfactual Deforestation in Protected Areas in the Amazon\NPratyush Tripathy, Kathy Baylisa, Catharina Latka, Robert Heilmayr, Ryan Ashraf\N \NAbstract\NThe Amazon rainforest plays a critical role in absorbing billions of tons of carbon and is home to rich biodiversity. Yet, alarming rates of deforestation threaten its survival, with one-fifth already lost and more expected by 2030. Conservation efforts, such as establishing protected areas, aim to slow this loss, but assessing their true impact has been challenging due to differences in the locations chosen to be protected versus other forests, and the highly non-linear drivers of deforestation. In our research, we use a neural network trained on unprotected forest areas, to forecast deforestation. We then use these forecasts to predict what deforestation would have occurred without protection. We first predict whether the area would be deforested at all, and for those areas where we predict positive deforestation, we predict the amount of deforestation. Our findings provide new insights for evaluating conservation strategies, helping policymakers and environmentalists target interventions more effectively to preserve the Amazon and combat climate change. X-ALT-DESC;FMTTYPE=text/html:Speaker: Kathy Baylis
Deep Learning for Predicting Counterfactual Deforestation in Protected Areas in the Amazon
Pratyush Tripathy, Kathy Baylisa, Catharina Latka, Robert Heilmayr, Ryan Ashraf
Abstract
The Amazon rainforest plays a critical role in absorbing billions of tons of carbon and is home to rich biodiversity. Yet, alarming rates of deforestation threaten its survival, with one-fifth already lost and more expected by 2030. Conservation efforts, such as establishing protected areas, aim to slow this loss, but assessing their true impact has been challenging due to differences in the locations chosen to be protected versus other forests, and the highly non-linear drivers of deforestation. In our research, we use a neural network trained on unprotected forest areas, to forecast deforestation. We then use these forecasts to predict what deforestation would have occurred without protection. We first predict whether the area would be deforested at all, and for those areas where we predict positive deforestation, we predict the amount of deforestation. Our findings provide new insights for evaluating conservation strategies, helping policymakers and environmentalists target interventions more effectively to preserve the Amazon and combat climate change.
LAST-MODIFIED:20250513T110724Z SEQUENCE:5257693 X-ACCESS:1 X-HITS:459 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20250526T101500 DTEND;TZID=Europe/Berlin:20250526T113000 UID:10CE222B-AFFB-4162-9B0C-6BE65E1C880E SUMMARY:Land and Climate Seminar - Can large-scale tree cover change negate climate change impacts on future water availability? CREATED:20250408T144819Z DTSTAMP:20250408T144819Z URL:https://www.sfb1502.de/component/dpcalendar/event/248?calid=44 DESCRIPTION:Speaker: Imme Benedikt\NThe availability of fresh water over land may become increasingly scarce under climate change, and natural and human-induced tree cover changes can further enhance or negate the water scarcity. Here, we study the hydrological impacts of large-scale tree cover change (climate-induced changes in combination with large-scale afforestation) in a future climate (SSP3-7.0). By combining data from five CMIP6 climate models with a future potential tree cover dataset, six Budyko models, and the UTrack moisture recycling dataset, we can disentangle the impacts of climate change and future tree cover change on evaporation, precipitation, and runoff. We quantify if tree cover changes enhance or counteract the climate-driven changes in runoff due to their impact on evapotranspiration and moisture recycling. Globally averaged, the impacts of climate change and large-scale tree cover change on runoff are of similar magnitude with opposite signs. While climate change increases the global runoff, the changing tree cover reverses this effect which overall results in a limited net impact on runoff relative to the present climate and current tree cover. Nevertheless, locally the change in runoff due to tree cover change and climate change can be substantial with increases and decreases of more than 100 mm/yr. We show that for approximately 16 % of the land surface, tree cover change can increase the water availability significantly. However, we also find that, for 14 % of the land surface, both tree cover change and climate change might decrease water availability with more than 5 mm/yr. We also studied signals per catchment. Our results show that ecosystem restoration projects targeting an altered tree cover should consider the corresponding hydrological impacts to limit unwanted (non-)local reductions in water availability. X-ALT-DESC;FMTTYPE=text/html:Speaker: Imme Benedikt
The availability of fresh water over land may become increasingly scarce under climate change, and natural and human-induced tree cover changes can further enhance or negate the water scarcity. Here, we study the hydrological impacts of large-scale tree cover change (climate-induced changes in combination with large-scale afforestation) in a future climate (SSP3-7.0). By combining data from five CMIP6 climate models with a future potential tree cover dataset, six Budyko models, and the UTrack moisture recycling dataset, we can disentangle the impacts of climate change and future tree cover change on evaporation, precipitation, and runoff. We quantify if tree cover changes enhance or counteract the climate-driven changes in runoff due to their impact on evapotranspiration and moisture recycling.
Globally averaged, the impacts of climate change and large-scale tree cover change on runoff are of similar magnitude with opposite signs. While climate change increases the global runoff, the changing tree cover reverses this effect which overall results in a limited net impact on runoff relative to the present climate and current tree cover. Nevertheless, locally the change in runoff due to tree cover change and climate change can be substantial with increases and decreases of more than 100 mm/yr. We show that for approximately 16 % of the land surface, tree cover change can increase the water availability significantly. However, we also find that, for 14 % of the land surface, both tree cover change and climate change might decrease water availability with more than 5 mm/yr. We also studied signals per catchment. Our results show that ecosystem restoration projects targeting an altered tree cover should consider the corresponding hydrological impacts to limit unwanted (non-)local reductions in water availability.
Speaker: Johannes Schultz
The state government of North Rhine-Westphalia is funding a Phase A feasibility study for the thermal satellite mission DIEGOSat, which officially started on 01.06.2025. The project is coordinated from Bochum, with the Remote Sensing Research Group (RSRG) at the University of Bonn responsible for radiative transfer modeling to simulate DIEGOSat sensor data.
The presentation will provide an overview of the key technical specifications of the DIEGOSat thermal and VIS-NIR sensor system, as well as discuss potential scientific applications across various disciplines. The mission team invites the scientific community to contribute by identifying specific user needs, defining mission and sensor requirements, and exploring opportunities for collaboration - particularly regarding the ground segment and future data validation activities.
DIEGOSat has a 800 km swath width and 11 spectral bands spanning the visible to near-infrared mid-wave infrared, and long-wave infrared regions. The thermal sensor system is actively cooled and incorporates an onboard blackbody reference for continuous in-flight calibration, enabling a radiometric accuracy of 0.5 K and a ground sampling distance of 60 meters.
Due to its ISS-like orbit, DIEGOSat will provide multi-temporal observations, enabling the retrieval of key parameters such as land surface temperature, sea surface temperature, fire radiative power, and evapotranspiration during both diurnal and nocturnal periods. Although the mission’s orbital configuration precludes coverage of high latitudes (> 60° N/S), it will offer up to three overpasses per day in mid-latitude regions.
Speaker: Shin-Chan Han
The GRACE and GRACE-FO mission data products include monthly mean gravity fields, also known as Level-2 (L2) data, from April 2002 to present. The gravity changes are attributed to surface mass changes and the Level-3 (L3) data products of surface mass block (‘mascon’) were developed with spatial constraints. Both L2 and L3 data products represent monthly mean measurements of full hydrology and cryosphere mass changes as well as residual atmosphere and ocean mass changes (relative to the applied ocean and atmosphere model such as in AOD1B). These L2 and L3 data, however, produce biased estimates when characteristic time scales of mass change processes are shorter than a month. In this presentation, I discuss alternative data processing strategy suitable to address short-term mass changes associated with, for example, onset and demise of atmospheric rivers, flooding, heat waves, rapid glacier melt/outbursts, flash droughts, and tsunamis as well as man-made water spills (for example, the Ukraine dam explosion in 2023). These signals could be large enough to cause detectable orbital perturbations to the GRACE, GRACE-FO and MAGIC satellites, but would not be adequately sampled in the L2 and L3 data products as their lifetime is too short. The technique and data products newly proposed in this presentation will open new science applications of satellite gravity data to rapid mass changes at a time scale as short as hours to days.
LAST-MODIFIED:20251007T062432Z SEQUENCE:20529013 X-ACCESS:1 X-HITS:796 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20251103T101500 DTEND;TZID=Europe/Berlin:20251103T113000 UID:6F8B8D0A-0778-4B63-97B7-9E4ABFFF1929 SUMMARY:Land and Climate Seminar - Reflect sunlight or use it to store carbon? CREATED:20251006T092018Z DTSTAMP:20251006T092018Z URL:https://www.sfb1502.de/component/dpcalendar/event/286?calid=44 DESCRIPTION:Speaker: Alexander Graf\NThe earth’s radiation budget is affected by human activities in the shortwave region via planetary albedo, and in the longwave region via emission of greenhouse gases. Land management often affects both at the same time – e.g., the use of afforestation to mitigate global warming has been questioned because forests typically absorb more sunlight. In a study based on global FLUXNET monitoring data, we examined whether there is a general relationship between carbon uptake and albedo of land cover types and if there are options left to maximize both at the same time. X-ALT-DESC;FMTTYPE=text/html:Speaker: Alexander Graf
The earth’s radiation budget is affected by human activities in the shortwave region via planetary albedo, and in the longwave region via emission of greenhouse gases. Land management often affects both at the same time – e.g., the use of afforestation to mitigate global warming has been questioned because forests typically absorb more sunlight. In a study based on global FLUXNET monitoring data, we examined whether there is a general relationship between carbon uptake and albedo of land cover types and if there are options left to maximize both at the same time.
LAST-MODIFIED:20251027T092931Z SEQUENCE:1814953 X-ACCESS:1 X-HITS:214 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20251124T101500 DTEND;TZID=Europe/Berlin:20251124T113000 UID:83D11BC7-30F2-4A5C-B782-47FE028123EE SUMMARY:Land and Climate Seminar - Water vapor variability and trends from GNSS CREATED:20251006T091840Z DTSTAMP:20251006T091840Z URL:https://www.sfb1502.de/component/dpcalendar/event/285?calid=44 DESCRIPTION:Speaker: Anna Klos\NGlobal Navigation Satellite System (GNSS) is currently a recognized system for observing the atmosphere. It allows for accurate estimation of water vapor content, which accounts for 60–70% of atmospheric warming. The water vapor content in the atmosphere is characterized by high spatial and temporal variability, which makes its prediction extremely difficult. It is therefore underestimated in numerical weather prediction models and climate models. The use of observations of water vapor content in the atmosphere obtained from ultra-dense networks of GNSS ground stations is crucial for weather forecasting and climate monitoring. This presentation will discuss issues related to the reliable determination of water vapor content from GNSS observations, their correct interpretation, and their use in monitoring climate change. X-ALT-DESC;FMTTYPE=text/html:Speaker: Anna Klos
Global Navigation Satellite System (GNSS) is currently a recognized system for observing the atmosphere. It allows for accurate estimation of water vapor content, which accounts for 60–70% of atmospheric warming. The water vapor content in the atmosphere is characterized by high spatial and temporal variability, which makes its prediction extremely difficult. It is therefore underestimated in numerical weather prediction models and climate models. The use of observations of water vapor content in the atmosphere obtained from ultra-dense networks of GNSS ground stations is crucial for weather forecasting and climate monitoring. This presentation will discuss issues related to the reliable determination of water vapor content from GNSS observations, their correct interpretation, and their use in monitoring climate change.
LAST-MODIFIED:20251112T152200Z SEQUENCE:3218600 X-ACCESS:1 X-HITS:222 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20251208T140000 DTEND;TZID=Europe/Berlin:20251208T151500 UID:FBF89DF4-4068-49A5-8AA6-631612AAC481 SUMMARY:Land and Climate Seminar - Biophysical assessment of climate change severity in the upper east region, Ghana CREATED:20251118T125848Z DTSTAMP:20251118T125848Z URL:https://www.sfb1502.de/component/dpcalendar/event/300?calid=44 DESCRIPTION:Speaker: Alex Owusu Bariman\N\NClimate change has continued to be a pressing concern, particularly for climate-vulnerable regions around the world, including Sub-Saharan Africa. While climate change is occurring at a rapid rate, its impact increases in severity. This article examines the biophysical assessment of climate change severity in the Upper East Region (UER) of Ghana. The study’s methodology combines satellite remote sensing data, field surveys, participatory mapping, and policy analysis. A year-long mean, Normalised Differential Vegetation Index (NDVI), rainfall pattern, evapotranspiration (ETa), and Land Surface Temperature (LST) were generated for four different years from Google Earth Engine. A survey involving 200 respondents was also conducted to complement the satellite-based imagery. The findings of the study showed a decline in the mean annual NDVI from 0.40 in 1990 to 0.35 in 2024. This revealed a decline in vegetation greenness and a transition from Sudan to Sahel savannah, suggesting an increasing climate change impact on vegetation. Mean annual rainfall also suggests a declining annual rainfall and is linked to decreased land surface vegetation. While rainfall declines, LST rose, with mean maximum temperature increasing from 39 ⁰C in 1990 to 45 ⁰C in 2024. In the same trend, the findings on the ETa data suggest increasing evapotranspiration, which is attributed to increasing LST. While climate change is increasingly becoming severe, farmers have continued to grapple with its severity. To address the situation, proactive climate action through collective actions, institutional commitment, and long-term localised adaptation strategies have been recommended.\N X-ALT-DESC;FMTTYPE=text/html:Speaker: Alex Owusu Bariman
Climate change has continued to be a pressing concern, particularly for climate-vulnerable regions around the world, including Sub-Saharan Africa. While climate change is occurring at a rapid rate, its impact increases in severity. This article examines the biophysical assessment of climate change severity in the Upper East Region (UER) of Ghana. The study’s methodology combines satellite remote sensing data, field surveys, participatory mapping, and policy analysis. A year-long mean, Normalised Differential Vegetation Index (NDVI), rainfall pattern, evapotranspiration (ETa), and Land Surface Temperature (LST) were generated for four different years from Google Earth Engine. A survey involving 200 respondents was also conducted to complement the satellite-based imagery. The findings of the study showed a decline in the mean annual NDVI from 0.40 in 1990 to 0.35 in 2024. This revealed a decline in vegetation greenness and a transition from Sudan to Sahel savannah, suggesting an increasing climate change impact on vegetation. Mean annual rainfall also suggests a declining annual rainfall and is linked to decreased land surface vegetation. While rainfall declines, LST rose, with mean maximum temperature increasing from 39 ⁰C in 1990 to 45 ⁰C in 2024. In the same trend, the findings on the ETa data suggest increasing evapotranspiration, which is attributed to increasing LST. While climate change is increasingly becoming severe, farmers have continued to grapple with its severity. To address the situation, proactive climate action through collective actions, institutional commitment, and long-term localised adaptation strategies have been recommended.
Speaker: Bahareh Kamali
Grasslands, storing ~34% of the global terrestrial carbon (C) stock, are a vital element of terrestrial ecosystems for regulating climate change. However, recent heat waves and droughts particularly in Europe have threatened the functioning of these ecosystems. The resilience of grasslands to these extremes and their role as C sinks or sources under these extremes depends on management intensity. Frequent cutting often reduces drought resistance, while fertilization effects remain inconsistent at moderate drought. It is unclear to what extent grassland farmers already adjusted their management practices to these extremes, and which trade-off exist among yield, Net Ecosystem Exchange (NEE), and nitrous oxide (N2O) emissions towards sustainable grassland management. In my talk, I will shed light on this particular aspect. We will bring insight from three grassland sites: one wet grasslands in Paulinenaue Germany, one intensively managed grassland in Switzerland, and one temporary grassland in rotation with croplands in Switzerland, and. A process-based model with data collected from these grassland sites are used for this purpose. A trade-off among three variables of yield, NEE, and N2O fluxes are found and the drivers of N2O emission are identified. Our results highlight the role of different management practices on increasing yield while minimizing N2O emissions and improving C sink strength.
LAST-MODIFIED:20260106T110736Z SEQUENCE:7705467 X-ACCESS:1 X-HITS:306 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260202T160000 DTEND;TZID=Europe/Berlin:20260202T171500 UID:10211847-57A8-4473-9B3E-9C89247517E5 SUMMARY:Land and Climate Seminar - Climate and Human Drivers of Global Water Storage Variations using Satellites, Modeling, and Monitoring CREATED:20251027T073955Z DTSTAMP:20251027T073955Z URL:https://www.sfb1502.de/component/dpcalendar/event/289?calid=44 DESCRIPTION:Speaker: Bridget Scanlon\NIncreasing climate extremes, rising population, and related food demand underscore the need to optimize water management. Here we show how GRACE satellites track spatiotemporal variability in water storage globally, with satellite data evaluated using regional modeling and ground-based monitoring. GRACE data show declining total water storage trends in the Southwest US, Middle East, North Africa, NW India, and North China Plain. In contrast, total water storage has been rising in much of Sub-Saharan Africa, eastern US, and related regions. Understanding the causes of water storage variations is essential to develop appropriate solutions for sustainable water management. X-ALT-DESC;FMTTYPE=text/html:Speaker: Bridget Scanlon
Increasing climate extremes, rising population, and related food demand underscore the need to optimize water management. Here we show how GRACE satellites track spatiotemporal variability in water storage globally, with satellite data evaluated using regional modeling and ground-based monitoring. GRACE data show declining total water storage trends in the Southwest US, Middle East, North Africa, NW India, and North China Plain. In contrast, total water storage has been rising in much of Sub-Saharan Africa, eastern US, and related regions. Understanding the causes of water storage variations is essential to develop appropriate solutions for sustainable water management.
LAST-MODIFIED:20251027T073955Z SEQUENCE:0 X-ACCESS:1 X-HITS:1 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260202T160000 DTEND;TZID=Europe/Berlin:20260202T171500 UID:FBC7D33A-3F1B-43E5-82AD-C86BFD419EEC SUMMARY:Land and Climate Seminar - Climate and Human Drivers of Global Water Storage Variations using Satellites, Modeling, and Monitoring CREATED:20260128T145058Z DTSTAMP:20260128T145058Z URL:https://www.sfb1502.de/component/dpcalendar/event/307?calid=44 DESCRIPTION:Speaker: Bridget Scanlon\NClimate and Human Drivers of Global Water Storage Variations using Satellites, Modeling, and Monitoring\NIncreasing climate extremes, rising population, and related food demand underscore the need to optimize water management. Here we show how GRACE satellites track spatiotemporal variability in water storage globally, with satellite data evaluated using regional modeling and ground-based monitoring. GRACE data show declining total water storage trends in the Southwest US, Middle East, North Africa, NW India, and North China Plain. In contrast, total water storage has been rising in much of Sub-Saharan Africa, eastern US, and related regions. Understanding the causes of water storage variations is essential to develop appropriate solutions for sustainable water management. X-ALT-DESC;FMTTYPE=text/html:Speaker: Bridget Scanlon
Climate and Human Drivers of Global Water Storage Variations using Satellites, Modeling, and Monitoring
Increasing climate extremes, rising population, and related food demand underscore the need to optimize water management. Here we show how GRACE satellites track spatiotemporal variability in water storage globally, with satellite data evaluated using regional modeling and ground-based monitoring. GRACE data show declining total water storage trends in the Southwest US, Middle East, North Africa, NW India, and North China Plain. In contrast, total water storage has been rising in much of Sub-Saharan Africa, eastern US, and related regions. Understanding the causes of water storage variations is essential to develop appropriate solutions for sustainable water management.
LAST-MODIFIED:20260128T145058Z SEQUENCE:0 X-ACCESS:1 X-HITS:129 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260317T150000 DTEND;TZID=Europe/Berlin:20260317T161500 UID:99B52C33-93AB-48AD-89DD-E659511F2020 SUMMARY:Land and Climate Seminar - How AI can improve satellite estimates of water storage changes CREATED:20260206T075316Z DTSTAMP:20260206T075316Z URL:https://www.sfb1502.de/component/dpcalendar/event/311?calid=44 DESCRIPTION:Speaker: Fupeng Li\NThis talk presents applications of AI to improve GRACE/GRACE-FO observations of terrestrial water storage, including long-term reconstruction, gap filling, forecasting, spatial downscaling, and disaggregation, as well as related future outlooks. X-ALT-DESC;FMTTYPE=text/html:Speaker: Fupeng Li
This talk presents applications of AI to improve GRACE/GRACE-FO observations of terrestrial water storage, including long-term reconstruction, gap filling, forecasting, spatial downscaling, and disaggregation, as well as related future outlooks.
LAST-MODIFIED:20260210T094139Z SEQUENCE:352103 X-ACCESS:1 X-HITS:132 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260427T101500 DTEND;TZID=Europe/Berlin:20260427T113000 UID:EB58C8E0-3903-4B52-A1D5-9A5E3F254F3E SUMMARY:Land and Climate Seminar - Coupling atmosphere, satellites, and land surface models for operational monitoring of agricultural water and energy fluxes CREATED:20260128T140519Z DTSTAMP:20260128T140519Z URL:https://www.sfb1502.de/component/dpcalendar/event/306?calid=44 DESCRIPTION:Speaker: Amirhossein Nikfal\NThis talk presents an operational land–atmosphere–satellite framework that couples the WRF regional atmospheric model with multi-sensor satellite observations and land-surface energy balance modeling. VIIRS and Sentinel-2 data are integrated with the SEBAL model to derive daily evapotranspiration, biomass proxies, and surface properties at high spatial resolution in a physically consistent manner. The presentation highlights transferable concepts relevant for DETECT, including coupled modeling strategies, operational workflows, and applications for water-cycle and land-surface research. X-ALT-DESC;FMTTYPE=text/html:Speaker: Amirhossein Nikfal
This talk presents an operational land–atmosphere–satellite framework that couples the WRF regional atmospheric model with multi-sensor satellite observations and land-surface energy balance modeling. VIIRS and Sentinel-2 data are integrated with the SEBAL model to derive daily evapotranspiration, biomass proxies, and surface properties at high spatial resolution in a physically consistent manner. The presentation highlights transferable concepts relevant for DETECT, including coupled modeling strategies, operational workflows, and applications for water-cycle and land-surface research.
LAST-MODIFIED:20260128T140519Z SEQUENCE:0 X-ACCESS:1 X-HITS:229 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260506T101500 DTEND;TZID=Europe/Berlin:20260506T113000 UID:B023C493-A48D-4C49-9328-C2E2FB0D926B SUMMARY:Land and Climate Seminar - Impact of marine heat waves on atmospheric rivers along the North American west coast CREATED:20260303T104803Z DTSTAMP:20260303T104803Z URL:https://www.sfb1502.de/component/dpcalendar/event/321?calid=44 DESCRIPTION:Speaker: Christoph Renkl X-ALT-DESC;FMTTYPE=text/html:Speaker: Christoph Renkl
LAST-MODIFIED:20260303T104803Z SEQUENCE:0 X-ACCESS:1 X-HITS:140 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20260518T101500 DTEND;TZID=Europe/Berlin:20260518T113000 UID:FF49376D-692B-4B80-9AAD-8A2F3FB8B4AA SUMMARY:Land and Climate Seminar - Explaining the East Saharan heat low enhancement and excessive wet years in the central and eastern Sahel CREATED:20260210T093937Z DTSTAMP:20260210T093937Z URL:https://www.sfb1502.de/component/dpcalendar/event/314?calid=44 DESCRIPTION:Speaker: Adreas Fink\NRecent years have seen unprecedented rainfall and flooding in the central and eastern Sahel, even extending north into the Sahara desert. The present-day situation represents a stark contrast the drought in the 1970s and 1980s. In the presentation, it will be shown that the rainfall trends align with a northeastward shift of the West African monsoon related to a strengthening of the heat low over the East Sahara. It is hypothesised that the latter is related to a reduced heat low ventilation due to the warming of the Eastern Mediterranean sea surface temperatures and an enhanced „local“ greenhouse effect due to enhanced atmospheric humidity over the Saharo-Sahelian region. The currently development can be seen as a harbinger of the coming decades. X-ALT-DESC;FMTTYPE=text/html:Speaker: Adreas Fink
Speaker: Peter Bauer-Gottwein (DTU - Technical University of Denmark)
LAST-MODIFIED:20260424T095116Z SEQUENCE:0 X-ACCESS:1 X-HITS:49 X-COLOR:3366cc X-SHOW-END-TIME:1 END:VEVENT END:VCALENDAR