Geostatistical estimation of daily monsoon precipitation at fine spatial scale : Koshi river basin
| Autor: | Marie Savéan, Nahossio Gonga-Saholiariliva, Pierre Chevallier, François Delclaux, Luc Neppel |
|---|---|
| Přispěvatelé: | Laboratoire de géographie physique : Environnements Quaternaires et Actuels (LGP), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Panthéon-Sorbonne (UP1), Université de Montpellier (UM), Glaciers et ressources en eau d'altitude - Indicateurs climatiques et environnementaux (GREATICE), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 2 - Sciences et Techniques (UM2), Société Pixelius, Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
[SDE.MCG]Environmental Sciences/Global Changes Hydrological modelling 0208 environmental biotechnology Drainage basin 02 engineering and technology Precipitation Monsoon 01 natural sciences Environmental Chemistry [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences General Environmental Science Water Science and Technology Civil and Structural Engineering Asia (Nepal China) geography geography.geographical_feature_category Rain gauge [SDE.IE]Environmental Sciences/Environmental Engineering Elevation Spatial analysis 15. Life on land [SDE.ES]Environmental Sciences/Environmental and Society 020801 environmental engineering Correlation Geostatistical analysis [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology 13. Climate action Climatology [SDE]Environmental Sciences Spatial ecology Environmental science Spatial variability |
| Zdroj: | Journal of Hydrologic Engineering Journal of Hydrologic Engineering, American Society of Civil Engineers, 2016, 21 (9), ⟨10.1061/(ASCE)HE.1943-5584.0001388⟩ |
| ISSN: | 1084-0699 |
| Popis: | International audience; The use of appropriate space and time scales is fundamental to model the water budget in mountainous regions and to give appropriate replies to the initial requests. However, at a daily scale, the determination of precipitation behavior is not an easy task due to its high variability in mountainous areas. Seven years (2001–2008) of accurate precipitation maps (1 km ground resolution) have been produced for the monsoon season over the Koshi River basin (Nepal) to be used for hydrological modeling. Due to field and topographical constraints, the geostatistical method of ordinary cokriging interpolation (OCK) was used to compute precipitation grids over a 57,800 km2 basin with a rain gauge network made of 47 stations. Using elevation as a covariable, regionalization models were run to produce 976 daily precipitation grids. They describe temporal and spatial variability close to observed data. Comparisons of the OCK results to an Aphrodite’s reference grid (resolution of 25 km) show that the OCK grids are characterized by a higher spatial variability. Both OCK and Aphrodite data sets underestimate observations, with OCK grids showing the best fit to observed data. However, the OCK method, with an eventual adaptation of the cokriging model, appears consistent for situations where the resolution of the precipitation’s spatial distribution is insufficient and an alternate explaining variable such as elevation is available. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|