A Novel Stream Network Upscaling Scheme for Accurate Local Streamflow Simulations in Gridded Global Hydrological Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A102082" target="_blank" >RIV/60460709:41330/25:102082 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1029/2024WR038183" target="_blank" >https://doi.org/10.1029/2024WR038183</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2024WR038183" target="_blank" >10.1029/2024WR038183</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Novel Stream Network Upscaling Scheme for Accurate Local Streamflow Simulations in Gridded Global Hydrological Models

Popis výsledku v původním jazyce

Large-scale hydrological models are progressing toward sub-kilometer resolutions to achieve "locally relevant hydrological simulations." However, grid-based domain representations introduce significant errors in streamflow within small catchments, a challenge that remains unresolved by state-of-the-art modeling schemes, such as 8-directional gridded routing (D8). Here, we introduce the Subgrid Catchment Conservation (SCC) scheme to enhance streamflow estimation at any location within the domain using a coarse resolution (i.e., 1 km or more), continental scale, grid-based hydrological model (HM). Gridded HMs not preserving the DEM-reference (or subgrid) catchment area is usually referred as the catchment size problem. SCC allows multiple outflow from grid cells, a key feature that preserves the subgrid catchment area of all points of interest across scales. SCC is a general concept; however, for demonstration purposes, it has been implemented in the mesoscale hydrological model, mHM. We employ a global setup with 62 large-scale domains encompassing 5,256 streamflow gauging stations, and a regional setup encompassing 187 stations in the Rhine river basin. We found that the widely used D8 scheme's efficacy diminishes drastically for catchments under 30 times the grid size. SCC demonstrates remarkable consistency in streamflow in the regional experiment with nine out of 10 stations exceeding the mean flow benchmark (KGE > -0.41) across 1-100 km model resolutions. In addition, SCC's ability to resolve multiple points of interests in a grid leads to greater modeling flexibility. By addressing the catchment size problem, SCC marks a significant advancement for global-scale simulations producing locally relevant streamflow.

Název v anglickém jazyce

A Novel Stream Network Upscaling Scheme for Accurate Local Streamflow Simulations in Gridded Global Hydrological Models

Popis výsledku anglicky

Large-scale hydrological models are progressing toward sub-kilometer resolutions to achieve "locally relevant hydrological simulations." However, grid-based domain representations introduce significant errors in streamflow within small catchments, a challenge that remains unresolved by state-of-the-art modeling schemes, such as 8-directional gridded routing (D8). Here, we introduce the Subgrid Catchment Conservation (SCC) scheme to enhance streamflow estimation at any location within the domain using a coarse resolution (i.e., 1 km or more), continental scale, grid-based hydrological model (HM). Gridded HMs not preserving the DEM-reference (or subgrid) catchment area is usually referred as the catchment size problem. SCC allows multiple outflow from grid cells, a key feature that preserves the subgrid catchment area of all points of interest across scales. SCC is a general concept; however, for demonstration purposes, it has been implemented in the mesoscale hydrological model, mHM. We employ a global setup with 62 large-scale domains encompassing 5,256 streamflow gauging stations, and a regional setup encompassing 187 stations in the Rhine river basin. We found that the widely used D8 scheme's efficacy diminishes drastically for catchments under 30 times the grid size. SCC demonstrates remarkable consistency in streamflow in the regional experiment with nine out of 10 stations exceeding the mean flow benchmark (KGE > -0.41) across 1-100 km model resolutions. In addition, SCC's ability to resolve multiple points of interests in a grid leads to greater modeling flexibility. By addressing the catchment size problem, SCC marks a significant advancement for global-scale simulations producing locally relevant streamflow.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

WATER RESOURCES RESEARCH

ISSN

0043-1397

e-ISSN

0043-1397

Svazek periodika

61

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

36

Strana od-do

1-36

Kód UT WoS článku

001507043800001

EID výsledku v databázi Scopus

2-s2.0-105008268782