Results 131 to 140 of about 19,903 (238)

Capturing Spatiotemporal and Subgrid Variability in Global Land Surface Albedo Parameterization

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Accurate surface albedo parameterization is critical for modeling Earth's energy balance. Yet, many schemes rely on static look‐up tables or semi‐empirical formulations that fail to capture spatiotemporal variations and complex radiative interactions. This study develops a physics‐informed machine‐learning parameterization using 19 years (2003–
Akarsh Ralhan, Xin‐Zhong Liang
wiley   +1 more source

An Grided Soil Moisture Profile Data Set Based on an Optimal Land Surface Model With Measured Hydraulic Parameters and Data Assimilation Over the Loess Plateau

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Soil moisture (SM) is a key water source for vegetation, directly determining the success of revegetation efforts in water‐limited regions. However, accurate profile SM data remain lacking for the Chinese Loess Plateau (LP), limiting ecological restoration efforts.
Shenghui Zhou, Baoqing Zhang, Xuejin Wang, Jiewen Feng, Zhenkang Zheng, Bohua Pang, Junsheng Nie, Wen Yin, Xining Zhao, Asaad Y. Shamseldin   +9 more
wiley   +1 more source

First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems

, 2019
The importance of semi-arid ecosystems in the global carbon cycle as sinks for CO2 emissions has recently been highlighted. Africa is a carbon sink and nearly half its area comprises arid and semi-arid ecosystems.
Abdi, A. M., Ardo, J., Boke-Olen, N., Eklundh, L., Jin, H., Lehsten, V., Tagesson, T.   +6 more
core   +1 more source

Optimization of Parsimonious and Synchronized Discharge and Dissolved Organic Carbon Models Across Catchment Scales

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract The production, transport, loss, and export of dissolved organic carbon (DOC) are closely connected with hydrometeorological drivers. While terrestrial production depends on biogeochemical variables like soil moisture, air temperature, and the contact area between water and organic matter sources, export is determined by water availability and
Juan Pesántez, Christian Birkel, Gabriel Gaona, William H. McDowell, Michelle D. Shattuck, Jody D. Potter, Alexandra R. Contosta, Adam S. Wymore   +7 more
wiley   +1 more source

Hydrological modelling using MODIS data for snow covered area in the northern boreal forest of Manitoba

, 2004
Bibliography: p. 122-129.
openaire   +2 more sources

Comparing Assimilation of Remotely Sensed Discharge Derived From SWOT and Landsat Into a Global Hydrological Model

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract The Surface Water and Ocean Topography (SWOT) satellite has enabled river discharge estimation for global rivers including ungauged regions. This remotely sensed discharge (SwRSQ) generated from SWOT's cloud‐penetrating measurements of river widths, water surface elevation, and slope is expected to have improved accuracy and spatiotemporal ...
Y. Ishikawa, D. Yamazaki, C. J. Gleason, N. Hanasaki, S. Kotsuki, D. Shiojiri, E. Friedmann   +6 more
wiley   +1 more source

Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu, Xueliang Zhang, Pengfeng Xiao, Yumeng Jia, Bo Tang, Yan Liu   +5 more
wiley   +1 more source

An Interpretable Physics‐Guided Deep Learning (IPGDL) Framework for Blue‐Green Water Robust Projection and Nonlinear Interpretation in the River Basin

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Blue water (BW) and green water (GW) resources are fundamental to the hydrological cycle, yet their effective future projection and mechanistic understanding remain challenging. Both physics‐based and data‐driven models have limitations in complex hydrological long‐term projection and nonlinear interpretation.
Zhonghui Guo, Chang Feng, Qing Liu, Liu Yang, Yikun Lu, Yan Liu, Boning Zhao, Dan Wang   +7 more
wiley   +1 more source

Integrating Maximum Entropy Production Theory and Machine Learning to Improve Global Evapotranspiration Modeling

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Accurate estimation of terrestrial evapotranspiration (ET) is vital for understanding global water and energy cycles. However, current global ET estimations are not well constrained. This study introduces an integrated framework combining the Maximum Entropy Production (MEP) theory with Random Forest (RF) model to improve global ET estimation.
Donghui Xu, Valeriy Ivanov, Vinh Ngoc Tran, Dongyu Feng, Gautam Bisht, Jingfeng Wang, L. Ruby Leung   +6 more
wiley   +1 more source

Changing Regional Land Surface Albedos Alter the Planetary Albedo During the Twenty‐First Century

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract The top‐of‐atmosphere (TOA) albedo controls the amount of solar energy absorbed by Earth and is influenced by the reflectivity of both the atmosphere and surface. With considerable changes in land use over the past few decades it is reasonable to question whether a perturbed surface albedo has influenced TOA albedo over the corresponding ...
Eirik Næsset Ramtvedt, Ryan M. Bright, Michael J. Gundale   +2 more
wiley   +1 more source