Summary
Published in Frontiers in Earth Science 8(514). https://doi.org/10.3389/feart.2020.556781
Asynchronous hydroclimatic modeling is proposed for the construction of physically based streamflow projections over regions characterized by meteorological observation scarcity. The novel approach circumvents the requirement for meteorological observations by 1) calibrating quantile mapping transfer functions simultaneously to the parameters of the hydrologic model, 2) forcing the hydrologic model with post-processed climate simulations, and 3) intentionally ignoring the correlation between simulated streamflow values and observations. As a result, relative humidity, solar radiation and wind speed are integrated to a full hydroclimatic modeling chain, allowing the construction of streamflow projections forcing the Penman-Montheith reference evapotranspiration formulation over a forested catchment that flows into the St-Lawrence River, Canada. Results confirm a more accurate simulated hydrological response relative to a conventional hydroclimatic modeling chain employing reanalyses as description of the climate system. They also highlight the contribution to uncertainty in streamflow projections from biased climate variables issued by the reanalyses. The suggested framework assumes the hydrologic regime as a functional proxy to corresponding climate drivers. We believe the latter opens promising perspectives in the scope of producing more reliable estimations of water-related and energy-driven processes such as streamflow generation, snow accumulation and melt, river ice jams, water temperature, or vegetation growth under evolving climate conditions.
Sector(s):
Forests
Categorie(s):
Scientific Article
Theme(s):
Ecosystems and Environment, Forest Ecology, Forest Growth and Yield Modelling, Forestry Research, Forests
Departmental author(s):
Author(s)
RICARD,Simon, Jean-Daniel SYLVAIN and François ANCTIL
Year of publication :
2020
Format :
PDF available upon request
How to get the publication :
ISSN
2296-6463
Keywords :
article scientifique de la recherche forestière, Hydroclimatologie, projection climatique, modélisation hydrologique à base physique, modélisation asynchrone, modélisation de la croissance et du rendement des forêts, écologie forestière, écosystèmes et environnement, forest growth and yield modelling, ecosystems and environment, forest ecology, forestry research scientific article, hydroclimate, watershed modelling, physically based modelling, projections, asynchronous modelling
