Modeling the hydrologic influence of subsurface tile drainage using the National Water Model

P Valayamkunnath, DJ Gochis, F Chen… - Water Resources …, 2022 - Wiley Online Library
Subsurface tile drainage (TD) is a dominant agriculture water management practice in the
United States (US) to enhance crop production in poorly drained soils. Assessments of field …

Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow …

E Alonso-González, E Gutmann… - Hydrology and Earth …, 2021 - hess.copernicus.org
The snowpack over the Mediterranean mountains constitutes a key water resource for the
downstream populations. However, its dynamics have not been studied in detail yet in many …

Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent

E Cho, CM Vuyovich, SV Kumar… - Hydrology and Earth …, 2022 - hess.copernicus.org
Seasonal snow is an essential component of regional and global water and energy cycles,
particularly in snow-dominant regions that rely on snowmelt for water resources. Land …

Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity …

C He, P Valayamkunnath, M Barlage… - Geoscientific Model …, 2023 - gmd.copernicus.org
The widely used open-source community Noah with multi-parameterization options (Noah-
MP) land surface model (LSM) is designed for applications ranging from uncoupled land …

Evaluation of reanalysis data and dynamical downscaling for surface energy balance modeling at mountain glaciers in western Canada

C Draeger, V Radić, RH White, MA Tessema - The Cryosphere, 2024 - tc.copernicus.org
Regional-scale surface energy balance (SEB) models of glacier melt require forcing by
coarse-gridded data from reanalysis or global climate models that need to be downscaled to …

Systematic analyses of the meteorological forcing and process parameterization uncertainties in modeling runoff with Noah-MP for the Upper Brahmaputra River …

X Lei, P Lin, H Zheng, W Fei, Z Yin, H Ren - Journal of Hydrology, 2025 - Elsevier
Accurate runoff modeling for high-altitude river basins is crucial to the management of
surface water for many downstream areas. However, achieving high runoff modeling skills is …

Automated calibration of Noah-MP land surface model for improved irrigation representation in the North China Plain

D Dai, Y Li, L Chen, F Chen, Z Li, Z Zhang… - Journal of …, 2025 - Elsevier
Irrigation significantly impacts the terrestrial water and energy cycle. Yet, due to insufficient
agriculture management data, omitting important processes in models, and suboptimal …

Enabling advanced snow physics within land surface models through an interoperable model‐physics coupling framework

M Navari, S Kumar, S Wang, J Geiger… - Journal of Advances …, 2024 - Wiley Online Library
Accurate estimation of snow accumulation and melt is a critical part of decision‐making in
snow‐dominated watersheds. In this study, we demonstrate a flexible methodology to …

Optimization of snow-related parameters in the Noah land surface model (v3. 4.1) using a micro-genetic algorithm (v1. 7a)

S Lim, HJ Gim, E Lee, S Lee, WY Lee… - Geoscientific Model …, 2022 - gmd.copernicus.org
Snowfall prediction is important in winter and early spring because snowy conditions
generate enormous economic damages. However, there is a lack of previous studies …

[HTML][HTML] Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe

ÁJ Varga, H Breuer - Atmospheric Research, 2024 - Elsevier
This study addresses snow depth overestimation and temperature underestimation in the
WRF/Noah-MP regional climate model by producing eight sensitivity simulations at a 10 km …