A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform DOI Creative Commons
Chen Yang,

Danielle Tijerina-Kreuzer,

Hoang Tran

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: July 10, 2023

Large-scale, high-resolution hydrologic modeling is an important tool to address questions of water quantity, availability, and recharge. Continental-to-Global scale models, particularly those that include groundwater, are growing in number. However, many these approaches simplify aspects the system connections between e.g., surface groundwater. The ParFlow CONUS platform a large-scale, hyper-resolution, model relies on integrated solution 3D partial differential equations describe soil, flow. prior version, 1.0, was first large-scale included explicit treatment lateral groundwater flow for contiguous US. Here, we present 2.0 model. This extends coastlines contributing basins United States (i.e., CONUS) consistent with NOAA National Water Model. Here document roughly five years technical development this platform, steady-state simulation results, rigorously compare results 1.0 simulations, evaluate performance based observations. Simulated table depth streamflow were evaluated using more than 635K observations from USGS monitoring wells gauges. Our demonstrate improvement both simulations over generation all Hydrologic Unit Code (HUC) basins. These also suggest current has good excellent entire CONUS, almost half HUC subbasins exhibiting normalized root-square error (RSR). metric not usually compared directly at studies, good-to-excellent exhibited some regions.

Language: Английский

A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations DOI Creative Commons
Luca Brocca, Silvia Barbetta, Stefania Camici

et al.

Frontiers in Science, Journal Year: 2024, Volume and Issue: 1

Published: March 5, 2024

Climate change is profoundly affecting the global water cycle, increasing likelihood and severity of extreme water-related events. Better decision-support systems are vital to accurately predict monitor environmental disasters optimally manage resources. These must integrate advances in remote sensing, situ , citizen observations with high-resolution Earth system modeling, artificial intelligence (AI), information communication technologies, high-performance computing. Digital Twin (DTE) models a ground-breaking solution offering digital replicas simulate processes unprecedented spatiotemporal resolution. Advances observation (EO) satellite technology pivotal, here we provide roadmap for exploitation these methods DTE hydrology. The 4-dimensional Hydrology datacube now fuses EO data advanced modeling soil moisture, precipitation, evaporation, river discharge, report latest validation Mediterranean Basin. This can be explored forecast flooding landslides irrigation precision agriculture. Large-scale implementation such will require further assess products across different regions climates; create compatible multidimensional datacubes, retrieval algorithms, that suitable multiple scales; uncertainty both models; enhance computational capacity via an interoperable, cloud-based processing environment embodying open principles; harness AI/machine learning. We outline how various planned missions facilitate hydrology toward benefit if scientific technological challenges identify addressed.

Language: Английский

Citations

23
Global 1 km land surface parameters for kilometer-scale Earth system modeling DOI Creative Commons
Lingcheng Li, Gautam Bisht, Dalei Hao

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(4), P. 2007 - 2032

Published: April 29, 2024

Abstract. Earth system models (ESMs) are progressively advancing towards the kilometer scale (“k-scale”). However, surface parameters for land (LSMs) within ESMs running at k-scale typically derived from coarse-resolution and outdated datasets. This study aims to develop a new set of global with resolution 1 km multiple years 2001 2020, utilizing latest most accurate available Specifically, datasets consist related use cover, vegetation, soil, topography. Differences between newly developed conventional emphasize their potential higher accuracy due incorporation advanced data sources. To demonstrate capability these parameters, we conducted simulations using E3SM Land Model version 2 (ELM2) over contiguous United States. Our results that contribute significant spatial heterogeneity in ELM2 soil moisture, latent heat, emitted longwave radiation, absorbed shortwave radiation. On average, about 31 % 54 information is lost by upscaling 12 resolution. Using eXplainable Machine Learning (XML) methods, influential factors driving variability loss were identified, highlighting substantial impact various as well mean climate conditions. The comparison against four benchmark indicates ELM generally performs simulating moisture energy fluxes. tailored meet emerging needs LSM ESM modeling implications our understanding water, carbon, cycles under change. publicly https://doi.org/10.5281/zenodo.10815170 (Li et al., 2024).

Language: Английский

Citations

12
Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review DOI Creative Commons
M. Lubczynski, Marc Leblanc, Okke Batelaan

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 633, P. 130901 - 130901

Published: Feb. 15, 2024

Integrated Hydrological Models (IHMs) dynamically couple surface and groundwater processes across the unsaturated zone domain. IHMs are data intensive computationally demanding but can provide physically realistic output, particularly if sufficient input of high quality is available. In-situ observations often have a small footprint time cost-demanding. Satellite remote sensing observations, with their long series archives spatially semi-continuous gridded format, as well hydrogeophysical flexible, 'on-demand' high-resolution coverage, perfectly complement in-situ observations. We review contribution various satellite products for IHM: (1) climate forcings, (2) parameters, (3) boundary conditions (4) constraining model calibration assimilation. Our hydrogeophysics focuses on four mentioned IHM contributions, we analyze them per acquisition platform, i.e., surface, drone-borne airborne hydrogeophysics. Finally, includes discussion optimal use in IHMs, vision further improvements data-driven, integrated hydrological modelling.

Language: Английский

Citations

10
A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform DOI Creative Commons
Chen Yang, D. Tijerina, Hoang Tran

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 626, P. 130294 - 130294

Published: Oct. 13, 2023

Large-scale, high-resolution hydrologic modeling is an important tool to address questions of water quantity, availability, and potential recharge. Continental-to-Global scale models, particularly those that include groundwater, are growing in number. However, many these approaches simplify aspects the system connections between surface groundwater. The ParFlow CONUS platform a large-scale, hyper-resolution, model relies on integrated solution 3D partial differential equations describe soil, 2D flow. prior version, 1.0, was first large-scale included explicit treatment lateral groundwater flow for contiguous US (CONUS). Here, we present 2.0 model. This extends coastlines contributing basins consistent with NOAA National Water Model. Here document roughly five years technical development this platform, steady-state simulation results, rigorously compare results 1.0 simulations, evaluate performance based observations. Simulated table depth streamflow were evaluated using more than 635K observations from USGS monitoring wells, other compiled datasets, NHD gauges. Our demonstrate improvement both simulations over generation all Hydrologic Unit Code (HUC) basins. These suggest current has good excellent entire CONUS, almost half HUC subbasins exhibiting normalized root-square error (RSR). metric not usually compared directly at studies, good-to-excellent exhibited some regions. We also delineate two regions influence performance, one where microtopography around streams dominates (D2), another mix subsurface heterogeneity topographic gradients dominate (D1). Improvements topography CONUS1 CONUS2 generally result better performances. Advancements structure produce estimates.

Language: Английский

Citations

20
Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin DOI
Zheng Lu,

Jiaxing Wei,

Xiaofan Yang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 638, P. 131542 - 131542

Published: June 16, 2024

Language: Английский

Citations

4
Improving the depth-to-bedrock maps for groundwater-to-atmosphere modeling in Africa DOI
Francis E. Oussou, Christopher E. Ndehedehe,

Nicaise Yalo

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: 656, P. 132964 - 132964

Published: March 5, 2025

Language: Английский

Citations

0
On the future of hydroecological models of everywhere DOI
Keith Beven

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106431 - 106431

Published: March 1, 2025

Language: Английский

Citations

0
Groundwater depletion intensified by irrigation and afforestation in the Yellow River Basin: A spatiotemporal analysis using GRACE and well monitoring data with implications for sustainable management DOI
Shuitao Guo, Yingying Yao,

Qiang Ji

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102324 - 102324

Published: March 23, 2025

Language: Английский

Citations

0
Augmenting the National agroecosystem model with physically based spatially distributed groundwater modeling DOI Creative Commons
Ryan T. Bailey, Salam A. Abbas,

Jeffrey G. Arnold

et al.

Environmental Modelling & Software, Journal Year: 2022, Volume and Issue: 160, P. 105589 - 105589

Published: Nov. 25, 2022

Language: Английский

Citations

16
Impacts of Permeability Uncertainty in a Coupled Surface‐Subsurface Flow Model Under Perturbed Recharge Scenarios DOI Creative Commons

Nicholas B. Engdahl

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(3)

Published: March 1, 2024

Abstract Coupled simulations of surface and variably saturated subsurface flow, termed integrated hydrologic models (IHMs), can provide powerful insights into the complex dynamics watersheds. The system governing equations solved by an IHM is non‐linear, making them a significant computational burden challenging to accurately parameterize. Consequently, large fraction studies date have been “numerical hypothesis testing” studies, but, as parallel computing continues improve, IHMs are approaching point where they might also be useful predictive tools. For this become reality, uncertainty such highly parameterized must considered. However, seldom considered in literature, likely due long runtimes simulations. questions herein how much there for common watershed simulation scenario, it that any one realization will give same relative change other perturbation recharge? A stochastic ensemble 250 permeability field realizations was used show high‐mountain headwaters systems dominated subsurface. Recharge scenarios echo these results, but changes streamflow or groundwater pressure heads were significantly smaller than their base‐case values. main finding do confident, estimates watersheds, even when specific outputs may high.

Language: Английский

Citations

3