𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Distributed mapping of snow and glaciers for improved runoff modelling

✍ Scribed by Jesko Schaper; Jaroslav Martinec; Klaus Seidel


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
294 KB
Volume
13
Category
Article
ISSN
0885-6087

No coin nor oath required. For personal study only.

✦ Synopsis


Runo in glacierized alpine basins results from both seasonal snow cover and glacier melt. In this paper we present a case study for an improved runo modelling of the basin Massa-Blatten, 196 km 2 , 1447±4191 m a.s.l. Using high resolution satellite sensors, it is possible to separately map snow cover and glacier areas. From the satellite data we derive depletion curves of snow covered areas in six elevation zones and determine when the glacier ice becomes exposed. We compute melt depths based on experimental measurements with regard to snow and ice. With the use of the snowmelt runo model SRM-ETH, the following input components to runo were determined: seasonal snow cover, including new snow falling on the snow covered areas; new snow falling on the snow-free area; rain; and glacier-ice. In order to evaluate the eect of the re®ned snow and glacier mapping on detailed melt computations, we compute the runo resulting from i) the conventional runo simulation based on integral snow and glacier areas, and ii) and advanced simulation taking into account the individual contributions from snow cover and glacier melt. We achieve a signi®cant improvement of the accuracy of the runo simulation.


📜 SIMILAR VOLUMES


Application of the Alpine 3D model for g
✍ Gernot Michlmayr; Michael Lehning; Gernot Koboltschnig; Hubert Holzmann; Massimi 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 497 KB

## Abstract The model for mountain surface processes, Alpine 3D, was applied to the Goldbergkees basin (2·7 km^2^, 52% glacierized) in the central Austrian Alps to model hourly discharge and glacier mass balance. Alpine 3D is a physically based model which focuses on snow‐ice‐soil energy and mass f

Seasonal, spatially distributed modellin
✍ Harald Kling; Josef Fürst; Hans Peter Nachtnebel 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 631 KB

## Abstract In mountainous regions of mid latitudes, the accumulation and melting of snow plays an important role for the seasonal water balance. These processes not only exhibit a strong seasonality, but also a high spatial variability, which has to be accounted for when establishing distributed w

Sub-grid parameterization of snow distri
✍ Charles H. Luce; David G. Tarboton; Keith R. Cooley 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 346 KB 👁 1 views

Representation of sub-element scale variability in snow accumulation and ablation is increasingly recognized as important in distributed hydrologic modelling. Representing sub-grid scale variability may be accomplished through numerical integration of a nested grid or through a lumped modelling appr

A comparison of MODIS and NOHRSC snow-co
✍ 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

Comparison of genetic algorithms and shu
✍ Yu-Chi Wang; Pao-Shan Yu; Tao-Chang Yang 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 418 KB

## Abstract Three methods, Shuffled Complex Evolution (SCE), Simple Genetic Algorithm (SGA) and Micro‐Genetic Algorithm (µGA), are applied in parameter calibration of a grid‐based distributed rainfall–runoff model (GBDM) and compared by their performances. Ten and four historical storm events in th

Geospatially based distributed rainfall-
✍ RAAJ Ramsankaran; U. C. Kothyari; S. K. Ghosh; A. Malcherek; K. Murugesan 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 526 KB

## Abstract This study presents a Geographic Information System (GIS)‐based distributed rainfall‐runoff model for simulating surface flows in small to large watersheds during isolated storm events. The model takes into account the amount of interception storage to be filled using a modified Merriam