A5035529554- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Flood Risk Assessment and Management
- Climate variability and models
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Hydrology and Drought Analysis
- Geophysics and Gravity Measurements
- Plant Water Relations and Carbon Dynamics
- Climate change and permafrost
- Hydrological Forecasting Using AI
- Hydrology and Sediment Transport Processes
- Soil and Unsaturated Flow
- Electron and X-Ray Spectroscopy Techniques
- Atmospheric and Environmental Gas Dynamics
- Water-Energy-Food Nexus Studies
- Environmental Monitoring and Data Management
- Remote Sensing in Agriculture
- Landslides and related hazards
- Climate change impacts on agriculture
- Methane Hydrates and Related Phenomena
- Groundwater flow and contamination studies
- Advanced Electron Microscopy Techniques and Applications
- Remote Sensing and LiDAR Applications
University of California, San Diego
2020-2025
Scripps Institution of Oceanography
2020-2025
Princeton University
2015-2024
Universiti Sains Malaysia
2023-2024
Tsinghua University
2024
Tianjin University
2021-2023
Nanjing University
2023
Anhui Agricultural University
2023
Southwest Medical University
2023
The Ohio State University
2023
Results are presented from the multi‐institution partnership to develop a real‐time and retrospective North American Land Data Assimilation System (NLDAS). NLDAS consists of (1) four land models executing in parallel uncoupled mode, (2) common hourly surface forcing, (3) streamflow routing: all using 1/8° grid over continental United States. The initiative is largely sponsored by Global Energy Water Cycle Experiment (GEWEX) Continental‐Scale International Project (GCIP). As overview for nine...
Abstract We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), a gridded precipitation P dataset spanning 1979–2017. MSWEP V2 is unique in several aspects: i) full global coverage (all land and oceans); ii) high spatial (0.1°) temporal (3 hourly) resolution; iii) optimal merging of estimates based on gauges [WorldClim, Global Historical Climatology Network-Daily (GHCN-D), Summary the Day (GSOD), Precipitation Centre (GPCC), others], satellites [Climate Prediction...
Abstract. We undertook a comprehensive evaluation of 22 gridded (quasi-)global (sub-)daily precipitation (P) datasets for the period 2000–2016. Thirteen non-gauge-corrected P were evaluated using daily gauge observations from 76 086 gauges worldwide. Another nine gauge-corrected hydrological modeling, by calibrating HBV conceptual model against streamflow records each 9053 small to medium-sized ( < 50 000 km2) catchments worldwide, and comparing resulting performance. Marked differences...
Abstract Evapotranspiration (ET) is the process by which liquid water becomes vapor and energetically this accounts for much of incoming solar radiation. If ET did not occur temperatures would be higher, so understanding trends crucial to predict future temperatures. Recent studies have reported prolonged declines in recent decades, although these may relate climate variability. Here, we used a well-validated diagnostic model estimate daily during 1981–2012 its three components:...
Abstract. New precipitation (P) datasets are released regularly, following innovations in weather forecasting models, satellite retrieval methods, and multi-source merging techniques. Using the conterminous US as a case study, we evaluated performance of 26 gridded (sub-)daily P to obtain insight into merit these innovations. The evaluation was performed at daily timescale for period 2008–2017 using Kling–Gupta efficiency (KGE), metric combining correlation, bias, variability. As reference,...
Abstract Water resources management (WRM) for sustainable development presents many challenges in areas with sparse situ monitoring networks. The exponential growth of satellite based information over the past decade provides unprecedented opportunities to support and improve WRM. Furthermore, traditional barriers access usage data are lowering as technological innovations provide manage deliver this wealth a wider audience. We review needs WRM role that remote sensing can play fill gaps...
Key Points The role of vegetation within the Budyko framework is examined. In large‐scale basins, affects water/energy balances significantly. small‐scale catchments, controlling impact diminished.
Spatiotemporally continuous global river discharge estimates across the full spectrum of stream orders are vital to a range hydrologic applications, yet they remain poorly constrained. Here we present carefully designed modeling effort (Variable Infiltration Capacity land surface model and Routing Application for Parallel computatIon Discharge routing model) estimate at very high resolutions. The precipitation forcing is from recently published 0.1° product that optimally merged gauge-,...
The first issue of WRR appeared eight years after the launch Sputnik, but by WRR's 25th anniversary, only seven papers that used remote sensing had appeared. Over journal's second 25 years, changed remarkably, and is now widely in hydrology other geophysical sciences. We attribute this evolution to production data sets scientists not well versed can use, educational initiatives like NASA's Earth System Science Fellowship program has supported over a thousand scientists, many hydrology....
Abstract Quantifying partitioning of precipitation into evapotranspiration (ET) and runoff is the key to assessing water availability globally. Here we develop a universal model predict water‐energy ( ϖ parameter for Fu's equation, one form Budyko framework) which spans small large scale basins A neural network (NN) was developed using data set 224 U.S. (100–10,000 km 2 ) 32 large, global (~230,000–600,000 independently combined based on both local (slope, normalized difference vegetation...
Abstract. Information about the spatiotemporal variability of soil moisture is critical for many purposes, including monitoring hydrologic extremes, irrigation scheduling, and prediction agricultural yields. We evaluated temporal dynamics 18 state-of-the-art (quasi-)global near-surface products, six based on satellite retrievals, models without data assimilation (referred to hereafter as “open-loop” models), that assimilate or brightness temperature data. Seven products are introduced first...
A systematic method is proposed to optimally combine estimates of the terrestrial water budget from different data sources and enforce balance constraint using assimilation techniques. The applied create global long-term records by merging a number datasets including in situ observations, remote sensing retrievals, land surface model simulations, reanalyses. estimation process has three steps. First, conventional analysis on errors biases conducted based existing validation/error studies...
The behaviors and skills of models in many geosciences (e.g., hydrology ecosystem sciences) strongly depend on spatially-varying parameters that need calibration. A well-calibrated model can reasonably propagate information from observations to unobserved variables via physics, but traditional calibration is highly inefficient results non-unique solutions. Here we propose a novel differentiable parameter learning (dPL) framework efficiently learns global mapping between inputs (and...
Abstract. There is growing evidence that climate change will alter water availability in Europe. Here, we investigate how hydrological low flows are affected under different levels of future global warming (i.e. 1.5, 2, and 3 K with respect to the pre-industrial period) rivers a contributing area more than 1000 km2. The analysis based on multi-model ensemble 45 simulations three representative concentration pathways (RCP2.6, RCP6.0, RCP8.5), five Coupled Model Intercomparison Project Phase 5...
SignificanceStream/river carbon dioxide (CO2) emission has significant spatial and seasonal variations critical for understanding its macroecosystem controls plumbing of the terrestrial budget. We relied on direct fluvial CO2 partial pressure measurements seasonally varying gas transfer velocity river network surface area estimates to resolve reach-level flux at global scale. The percentage primary production (GPP) shunted into rivers that ultimately contributes evasion increases with...
The Soil Moisture Active Passive (SMAP) mission measures important soil moisture data globally. SMAP's products might not always perform better than land surface models (LSM) when evaluated against in situ measurements. However, we hypothesize that SMAP presents added value for long-term estimation a fusion setting as by data. Here, with the help of time series deep learning (DL) method, created seamlessly extended set to test this hypothesis and, importantly, gauge whether such benefits...
Arctic rivers drain ~15% of the global land surface and significantly influence local communities economies, freshwater marine ecosystems, climate. However, trusted public knowledge pan-Arctic is inadequate, especially for small across Eurasia, inhibiting understanding response to climate change. Here, we calculate daily streamflow in 486,493 river reaches from 1984-2018 by assimilating 9.18 million discharge estimates made 155,710 satellite images into hydrologic model simulations. We...
Abstract Hydrological extremes, in the form of droughts and floods, have impacts on a wide range sectors including water availability, food security, energy production. Given continuing large floods expectation for significant regional changes projected future, there is an urgent need to provide estimates past events their future risk, globally. However, current hydrological extremes are not robust accurate enough, due lack long-term data records, standardized methods event identification,...
Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new data sets for both gaged ungaged basins. SWOT discharge products (available approximately 1 year after launch) provide all river that reaches wider than 100 m. In this paper, we describe how produced archived by the US French space agencies be computed from water surface elevation, width, slope ancillary data, along with expected accuracy. We present first...