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Posts by CRC 1502 DETECT

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๐Ÿ’ง๐Ÿ—‚๏ธ Why accessible soil moisture data matter: new #CRC1502 work by Mohseni & Haunert in #Z03 reviews soil moisture datasets and presents the UB-SMDC portal โ€” a useful step toward making soil moisture data easier to find, compare, and use.

๐Ÿ“„ doi.org/10.1080/2096...
๐ŸŒŽ ubsmdc.sfb1502.de/geonetwork/s...

20 hours ago 1 0 0 0
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๐Ÿš€๐ŸŒ Interested in AI for weather and climate research?

The #MLESM Hackathon is on 19โ€“21 August 2026 in Bonn for PhD students and early-career researchers. A great chance to code, learn, and tackle Earth system challenges with machine learning.

Apply now: cesoc.net/mlesm-hackat...
#CRC1502 #DETECT

1 day ago 0 0 0 0

๐Ÿ’ง๐ŸŒพ We are proud to present 2nd #CRC1502 DETECT L&C Seminar of SoSe 2026: Amirhossein Nikfal on coupling atmosphere, satellites & land-surface models for agricultural water & energy flux monitoring.

๐Ÿ—“ Mon 27.04.26 | 10:15 CEST | Zoom
๐Ÿ“ฉ Contact us to join.

Further info: sfb1502.de/news-events/...

1 day ago 0 0 0 0
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๐ŸŒŠ๐Ÿ’จ How reservoirs โ€œbreatheโ€: floating-chamber observations at the Rur reservoir track COโ‚‚ and CHโ‚„ fluxes across seasons. COโ‚‚ can shift from sink to source, while CHโ‚„ is emitted throughout the year โ€” showing why year-round monitoring matters.

๐ŸŒŽ sfb1502.de/images/Newsl...

#CRC1502 #DETECT

1 week ago 1 0 0 0

We thank the @ageconsoc.bsky.social for the great organization at a beautiful place!

Our chair was further represented w/ presentations of Guy Low and Friedrich Hermann.

See you next time in Budapest, hopefully!

1 week ago 2 1 0 0
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๐ŸŽ“๐ŸŒ #CRC1502 #DETECT at the @ageconsoc.bsky.social conference in @ox.ac.uk!

@stefanseifert.bsky.social and Josef Baumert presented on climate adaptation and AI + econ modelling for crop production in data-scarce regions.

๐Ÿ† Congrats to Josef Baumert on the Best PhD Presentation Award!

#AES100_26

1 week ago 3 2 0 1
ยฉ Kirsten Sadler

ยฉ Kirsten Sadler

๐Ÿ“๐ŸŽ‰ 150 years of Geodesy in Bonn!
This year, the Institute of Geodesy and Geoinformation at the @unibonn.bsky.social celebrates its 150th anniversary.

๐Ÿ—“ Tue 21.04.26 | 17:00 CET
๐Ÿ“ NuรŸallee 17, Bonn

Registration: www.igg.uni-bonn.de/de/anmeldung
More: www.uni-bonn.de/de/veranstal...

1 week ago 2 2 0 0
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๐Ÿ“กSimulation vs. Reality: Predicting precipitation accurately is challenging for models. In #A04 #CRC1502, we tackle this with 3D polarimetric radars! See how we use observations to improve the physics of our forecasts. โ„

๐ŸŽฅ youtu.be/pSKvCwaRE-M
๐ŸŒŽ sfb1502.de/projects/clu...
๐Ÿ“„ doi.org/10.1049/SBRA...

2 weeks ago 2 0 0 0
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๐Ÿ’ง๐Ÿ›ฐ๏ธNEW #CRC1502 publication! Hacker et al. (co-authored by our speaker, @jurgenkusche.bsky.social) present a terrestrial water storage dataset from 1984 onward, combining pre-GRACE satellite observations and climate data. Great news for long-term water storage research.

๐Ÿ“„ doi.org/10.5194/essd...

2 weeks ago 3 0 0 1
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๐ŸŒฟ๐Ÿ’งWhy ET partitioning matters: the split between transpiration and evaporation shapes land-surface water and energy fluxes. Project A03 #CRC1502 combines stable isotope, eddy-covariance and modelling approaches to improve T/ET estimates across ecosystems and climates.

๐ŸŒŽ sfb1502.de/projects/clu...

3 weeks ago 2 0 0 0
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๐Ÿ’งNEW #CRC1502 publication from our Speaker's Lab @jurgenkusche.bsky.social! Li et al. present an observation-driven forecast of global terrestrial water storage, showing it can beat ECMWF SEAS5 in seasonal prediction. A step toward operational water-storage forecasting.

๐Ÿ“„ doi.org/10.1029/2025...

3 weeks ago 2 0 0 0

๐Ÿ’ญ Comparing large-scale hydrological models & satellite gravimetry (GRACE/GRACE-FO) with superconducting gravimeters is still challenging.

๐Ÿ”ฌ More gravimeters + better satellites/models โ†’ seamless water storage monitoring.

๐Ÿ“„ EGU: meetingorganizer.copernicus.org/EGU26/EGU26-...

#Geodesy #EGU2026

4 weeks ago 2 1 0 0

๐Ÿ“˜ New #CRC1502 publication from our speakerโ€™s group @jurgenkusche.bsky.social by @aquasong.bsky.social from project #C01!

What would you track first with global near-real-time water storage data โ€” drought, floods, groundwater depletion, or something else?

4 weeks ago 2 0 0 0
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๐ŸŽโš– #DETECTapple: Tiny gravity changes, huge insight! @aquasong.bsky.social studies how iGrav043 near Bonn tracks water storage, incl. water taken up by trees ๐ŸŒฑ๐Ÿ’ง.
A 2-yr iGrav vs eCLM comparison agrees. GRACE-FO assimilation did not improve the match.

๐ŸŒŽ sfb1502.de/images/Newsl...

#CRC1502 #DETECT

4 weeks ago 2 0 0 1
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๐ŸŒŠ๐Ÿ›ฐ๏ธ NEW #CRC1502 publication from Project #B01! Zakharova et al. explore how Sentinel-3 and Sentinel-6 SAR altimetry can support river discharge estimation, using the Rhine and Po as case studies. A strong step toward more robust discharge monitoring from space.

๐Ÿ“„ doi.org/10.1016/j.jh...

1 month ago 3 0 0 0
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A review of current best practices and future directions in assimilating GRACE/-FO terrestrial water storage data into numerical models Abstract. Water cycle reanalyses, generated by integrating observations into hydrological and land surface models, provide long-term and consistent estimates of key water cycle components. Reanalyses ...

โณ Almost 20 yrs of ๐—š๐—ฅ๐—”๐—–๐—˜/-๐—™๐—ข data assimilation tell a fascinating story ๐ŸŒ๐Ÿ’ง. Read our newest HESS review here: hess.copernicus.org/articles/30/...

1 month ago 6 3 1 1
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Multidecadal reconstruction of terrestrial water storage changes by combining pre-GRACE satellite observations and climate data Abstract. The Gravity Recovery And Climate Experiment (GRACE) and its follow-on mission, GRACE-FO, have observed global mass changes and transports, expressed as terrestrial water storage anomalies (T...

Paper alert ๐Ÿšจ๐Ÿ“ข
GRACE-like reconstruction of terrestrial water storage, starting from the 1980ies(!).

Thx to #openaccess PubFund of @unibonn.bsky.social find it for free at Copernicus ESSD via
doi.org/10.5194/essd...
This work by PhD cand. C.Hacker is part of @crc1502-detect.bsky.social 1/n

1 month ago 2 2 1 0

๐Ÿ’ง๐Ÿ“ก We are proud to present the 1st #CRC1502 DETECT Land & Climate Seminar of SoSe 2026: Fupeng Li โ€” โ€œHow AI can improve satellite estimates of water storage changesโ€.

๐Ÿ—“ Tue 17.03.26 | 15:00 CET | Online (Zoom)
๐Ÿ“ฉ Please contact us if you want to join.

Further info: sfb1502.de/news-events/...

1 month ago 2 2 0 1
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๐Ÿ“ก๐ŸŒฑ How gamma radiation measurements help: Europeโ€™s EURDEP network can become a source of continental-scale soil moisture information. A02 #CRC1502 develops processing strategies and conversion functions for SM estimation from gamma radiation.
๐Ÿ“„ doi.org/10.1002/vzj2...
๐ŸŒŽ sfb1502.de/projects/clu...

1 month ago 3 1 0 0
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๐ŸŒฑWhy soil type and structure matter: saturated hydraulic conductivity shapes runoff v infiltration. Project A01 #CRC1502 shows land use and Soil Reference Groups explain infiltration variability better than texture alone.

๐Ÿ“„ doi.org/10.1016/j.ge...
๐ŸŽฅ youtu.be/i5nfOOfq_MY
๐ŸŒŽ sfb1502.de/projects/clu...

2 months ago 3 1 0 0

๐Ÿ’ง๐Ÿ“ก Proud to present the 6th #CRC1502 Land & Climate Seminar (WS 25/26): Bridget Scanlon, โ€œClimate and Human Drivers of Global Water Storage Variations using Satellites, Modeling, and Monitoringโ€

๐Ÿ—“ Mon 02.02.26 | 16:00 CET | Onlineโ€”Zoom
๐Ÿ“ฉ Contact us to join.

Further info: sfb1502.de/news-events/...

2 months ago 0 0 0 1
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First comprehensive review paper on assimilating GRACE/-FO terrestrial water storage data into hydrological and land surface models - by Anne Springer @aquasong.bsky.social et al, just accepted for HESS
egusphere.copernicus.org/preprints/20...
#CRC1502 #DETECT

3 months ago 4 2 0 0
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A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage Under global climate change and human intervention, an increased frequency of alternating drought and flood events exists, making such extreme conditions seemingly the new normal. These frequent event...

๐ŸŒง๏ธโžก๏ธ๐Ÿ’ง A new study from our #CRC1502 DETECT speaker @jurgenkusche.bsky.social (Zhong et al.) introduces a simple metricโ€”rolling STD of GRACE(-FO) global TWSAโ€”to map which region's water storage variability is becoming more nonstationary and precipitation-driven.

๐Ÿ“ doi.org/10.1109/TGRS.2026.3650800

2 months ago 1 1 0 0
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๐Ÿ’งA new study from our #CRC1502 speaker @jurgenkusche.bsky.social, led by Fupeng Li, presents an downscaling approach to reproduce GRACE terrestrial water storage anomalies at 0.25ยฐโ€”retaining the large-scale GRACE signal while adding finer spatial detail for hydrology.

๐Ÿ“ doi.org/10.1029/2025GL119881

2 months ago 2 1 0 0
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๐Ÿ‘ฉโ€๐ŸŽ“ 2nd #DETECT PhD - We congratulate @heikeschimmel.bsky.social on the successful defense of their dissertation at @unibonn.bsky.social (January 2026). The topic focused on sensitivity of organic soils to land use change and global warming, with important implications for soilโ€“climate interactions.

2 months ago 4 1 0 0
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Our #CRC1502 team in B01 developed DIWASAR (DETECT-Discharge and water level), time-series of water level, river discharge and water storage from 2016 to 2024 using FFSAR nadir- and SWOT altimetry.

๐Ÿ“Š detect-z03.geoinformation.net/map/
๐Ÿ’ก doi.org/10.22541/ess...

๐Ÿ‘ฉโ€๐Ÿ’ป Jiaming Chen & Luciana Fenoglio

3 months ago 1 0 0 0
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๐ŸŽ™๏ธ๐Ÿ“ป NEW #CRC1502 podcast feature: our speaker @jurgenkusche.bsky.social joins the Water Resources Podcast to discuss updates on GRACE/GRACE-FO, applications for flood monitoring, and data assimilation with global hydrology models.

Listen here: wrp.beg.utexas.edu/episode/incr...

#Flooding #Hydrology

3 months ago 1 0 0 0
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๐Ÿ›ฐ๏ธ Our #CRC1502 #DETECT member Prof. @ribana.bsky.social joins #Kinderuni @unibonn.bsky.social with: โ€œSmart computers for natureโ€”how satellites & robots help us understand and protect our environment.โ€ Mon 26 Jan 2026, 17:15โ€“18:00 (Bonn). Free entry (8โ€“13 years old).

Info: www.uni-bonn.de/kinderuni

3 months ago 3 1 0 0
Improving atmospheric modeling using weather radar data
Improving atmospheric modeling using weather radar data YouTube video by Detect-Content-Creator

๐Ÿ“ก NEW #CRC1502 VIDEO ALERT!
Simulation vs. Reality๐ŸฅŠ: predicting precipitation remains tough. In this video, we show how 3D polarimetric radar observations help diagnose and improve the physics of precipitation in modelsโ€”for better forecasts of rain and snow. โ„๏ธ๐Ÿ’ง

๐ŸŽฅ www.youtube.com/watch?v=pSKv...

3 months ago 2 0 0 0
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NEW #CRC1502 #DETECT paper: SWOT-derived river discharge tracks variability even without gauges (median r = 0.73) and points to 11,274 (and growing) high-quality ungauged locations where discharge dynamics can be captured from space.

๐Ÿ“œ doi.org/10.1029/2024...
#SWOT #Hydrology #RiverDischarge

3 months ago 1 0 0 0