𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The importance of the air temperature variable for the snowmelt runoff modelling using the SRM

✍ Scribed by C. Richard; D. J. Gratton

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
209 KB
Volume
15
Category
Article
ISSN
0885-6087

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Runoff regimes in most northern basins are controlled by the melting snow cover. A common method for evaluating runoff consists in correlating ambient air temperature and recorded hydrometric gauge values. The air temperature is the principal variable to estimate the importance of the melting of the snow cover when using a global conceptual model such as the snowmelt runoff model (SRM). The temperature, which is often only measured at one weather station, must be extrapolated to the whole basin according to some kind of lapse rate. This extrapolation often assumes that air temperature is representative for a wide region, which is often not the case. The estimation of temperature values is critical, especially for large basins where the surface processes are largely influenced by a forest cover. This project has two objectives: (1) applying a mostly high mountain SRM to the Batiscan River Basin, in the Province of Québec, an area occupied by a forest with a rolling hill topography; (2) investigate the impact of the extrapolation strategy for estimating temperature values and its importance in the runoff modelling. A statistical comparison between the different modelling attempts was performed. This allowed us to obtain a sensitivity analysis of the snow runoff modelling in relation to the extrapolation of the temperature values. Our results showed that the weather station, used to perform the runoff modelling, should be located in the most representative land cover of the study area. Otherwise, the values of a synthetic regional weather station were more reliable for the modelling. Finally, before pursuing any snowmelt modelling with the SRM, the temperature values must be evaluated based on the location of the weather station to see if they are representative of the total study area. Copyright © 2001 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

Modelling and forecasting snowmelt runof
Modelling and forecasting snowmelt runoff process using the HBV model in the eastern part of Turkey
✍ A. Arda Şorman; A. Şensoy; A. E. Tekeli; A. Ü. Şorman; Z. Akyürek 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 292 KB

## Abstract Snowmelt runoff in the mountainous eastern part of Turkey is of great importance as it constitutes 60–70% in volume of the total yearly runoff during spring and early summer months. Therefore, determining the amount and timing of snowmelt runoff especially in the Euphrates basin, where

A comparison of MODIS and NOHRSC snow-co
A comparison of MODIS and NOHRSC snow-cover products for simulating streamflow using the Snowmelt Runoff Model
✍ Songweon Lee; Andrew G. Klein; Thomas M. Over 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 370 KB

## Abstract Remote sensing is an important source of snow‐cover extent for input into the Snowmelt Runoff Model (SRM) and other snowmelt models. Since February 2000, daily global snow‐cover maps have been produced from data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS). The

Error analysis for the evaluation of mod
Error analysis for the evaluation of model performance: rainfall–runoff event summary variables
✍ Edzer J. Pebesma; Paul Switzer; Keith Loague 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 400 KB 👁 1 views

## Abstract This paper provides a procedure for the evaluation of model performance for rainfall–runoff event summary variables, such as total discharge or peak runoff. The procedure is based on the analysis of model errors, defined as the differences between observed values and values predicted by

Using multilevel models for assessing th
Using multilevel models for assessing the variability of multinational resource use and cost data
✍ Richard Grieve; Richard Nixon; Simon G. Thompson; Charles Normand 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 151 KB

## Abstract Multinational economic evaluations often calculate a single measure of cost‐effectiveness using cost data pooled across several countries. To assess the validity of pooling international cost data the reasons for cost variation across countries need to be assessed. Previously, ordinary