I am excited to announce SMAP-HydroBlocks:
The first #satellite-based surface #SoilMoisture dataset at 30-m resolution for the United States
🛰️💧🏞️
Data is #OpenAccess and peer-review paper is available @ScientificData
More in this thread👇
📢 Join us for the Forest and Water dynamics session at #EGU25!
📅 Abstracts are due by Jan 15:
https://t.co/xLPyl9n4pQ
I'll be giving a talk on
Improving Forest Realism in ESMs through Satellite Observations
🛰️🌳🌐
w @RodolfoNobrega@pennalp and others
Come join us at Rice!
The EEPS Pan Postdoc Fellowship is due on Nov 1st:
https://t.co/tP9s0NvPE5
The EEPS Assistant Professor position is due on Dec 1st:
https://t.co/CXWaVvpDIw
Rice University has two positions open in Earth, Environmental, and Planetary Sciences. Please reach out to me with any questions!
Postdoc Fellowship (*due 11/1): https://t.co/xZWTywYqot...
Assistant Professor of Environmental Science: https://t.co/IMkrtBNR8Q
🌿 How can we make land surface models more accurate for better climate predictions? Check out our new preprint exploring data assimilation for parameter estimation and how machine learning can help: https://t.co/1azDQzejuT @AIMES_IPO#LandSurfaceModelling#MachineLearning
🚨One week to submit abstracts to AGU!📅
Looking forward to seeing you in DC at the remote sensing of soil processes section!🌱🛰️
Join us and two amazing invited speakers:
🎙️Alexandra Konings & Gabrielle De Lannoy🎙️
Convened with @Vinit__Sehgal @a_feldman24 Druva Kathuria 🎉✨
Looking forward to see you all at #agu24
I will be speaking alongside @fkratzert in session GC030
🌎 Advancing #Water Security: Data-based & Cross-disciplinary Strategies
Join us and submit your abstract by July 31!
https://t.co/i04ISP1YuG
@YanJiang_yj@he_liyin@GreyNearing
🌟 Postdoc Fellowship Opportunity 🌟
🌎 The Rice Sustainability Institute is seeking creative, interdisciplinary scholars to tackle transformative sustainability challenges.
🦉 Join us at @RiceUniversity!
📅 Application Deadline: August 15, 2024
https://t.co/I0PlaQ2BDw
🌊💦 Catchment Hydrology Contest!
💰🏆Students & postdocs, share an inspiring catchment hydrology study (100 words max) for a chance to win $300! 💸Details:
https://t.co/vv9xIWcKnd
🌐Unleash your passion for catchment hydrology and get rewarded!
@Hydrology_AGU@AGU_H3S
Looking forward to sharing insights on integrating soil moisture data and models for water and climate applications at the upcoming seminar hosted by @ESSICUMD@UofMaryland@NASAGoddard
🗓️ April 22, 2024 ⏰ 2 PM ET
https://t.co/yZELjITanT
Hey @Princeton!
I'm looking forward to sharing insights on using satellite data and physical models for water resource monitoring at Mathey College on Feb 21st. Hoping to see faces both familiar and new there! @PrincetonCIMES@EPrinceton@GeosciencesPU@PrincetonEnviro
Hats off to @LinaCastano_D & @USDA ARS team for leading the use of machine learning to combat mycotoxin in corn 🌽💻
It is not just about smarter farming but a significant leap towards safer crops and proactive climate change response.
https://t.co/ybtOAVLCHE
Keep rocking! 🌟
Our new paper is officially out: "Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning"
I am so proud of my team!
https://t.co/LD5uWLGXPi
Join us on Tuesdays starting this February as we host an 8-week virtual training series to teach undergraduates and graduates the fundamentals of using world-class supercomputers to advance the use of AI for research.
Register: https://t.co/9iy9k3GOTw
📣Yet another #flash_drought paper! But wait, this one is different. We started with a global survey to gather local characteristics and impacts, followed by literature review (both academic and non-academic) often in local languages to go beyond dominant US & China studies.🧵
Excited to be back at #AGU23!
I'll be presenting on:
🔥Tue. 8:30a (3005 West ) on Local droughts: previously underdetected, underestimated, and overlooked
🏞️ Thu. AM Poster (H41Q-1990) on Bridging Data Gaps for Improved Plant-Soil-Water in ESM
💬 DM if you want to chat!
I am excited to announce SMAP-HydroBlocks:
The first #satellite-based surface #SoilMoisture dataset at 30-m resolution for the United States
🛰️💧🏞️
Data is #OpenAccess and peer-review paper is available @ScientificData
More in this thread👇