9783540408802 - Remote Sensing in Snow Hydrology: Runoff Modelling, Effect of Climate Change di Seidel, Klaus; Martines, Jaroslav; Martinec, J. (9 risultati)

Condizione: New. In.

Condizione: New. pp. xx + 150, Maps 1st Edition.

Condizione: New. pp. xx + 150 Illus., Maps.

Hardcover. Condizione: Brand New. 1st edition. 150 pages. 9.50x6.50x0.75 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Remote sensing is dealt with with regard to periodical snow cover mapping. Last advances and refinements refer to spatial resolution, cloud interference and separate monitoring of snow and glacier ice. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable. Applications in over 100 mountain basins around the world are documented, with surface areas ranging from 0.3 km2 to 900.000 km2. Based on runoff modelling, runoff forecasts are dealt with including seasonal and short term forecasts as well as computation of hydrographs from forecasted temperatures and precipitation. The climate change is becoming a major concern of our times. The effect of various climate scenarios on the seasonal snow cover and runoff is evaluated by the updated computer program which also enable the real-time runoff forecasts to be improved. As a final note, a method is outlined to predict the decline of glaciers in the warming climate.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Remote sensing is dealt with with regard to periodical snow cover mapping. Last advances and refinements refer to spatial resolution, cloud interference and separate monitoring of snow and glacier ice. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable. Applications in over 100 mountain basins around the world are documented, with surface areas ranging from 0.3 km2 to 900.000 km2. Based on runoff modelling, runoff forecasts are dealt with including seasonal and short term forecasts as well as computation of hydrographs from forecasted temperatures and precipitation. The climate change is becoming a major concern of our times. The effect of various climate scenarios on the seasonal snow cover and runoff is evaluated by the updated computer program which also enable the real-time runoff forecasts to be improved. As a final note, a method is outlined to predict the decline of glaciers in the warming climate. 192 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up-to-date results from 30 years of researchRefined data processing combined with GIS and SRM modelInitially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Remote se.

Buch. Condizione: Neu. Remote Sensing in Snow Hydrology | Runoff Modelling, Effect of Climate Change | Klaus Seidel (u. a.) | Buch | Springer Praxis Books | xxi | Englisch | 2004 | Springer | EAN 9783540408802 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Remote sensing is dealt with with regard to periodical snow cover mapping. Last advances and refinements refer to spatial resolution, cloud interference and separate monitoring of snow and glacier ice. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable. Applications in over 100 mountain basins around the world are documented, with surface areas ranging from 0.3 km2 to 900.000 km2. Based on runoff modelling, runoff forecasts are dealt with including seasonal and short term forecasts as well as computation of hydrographs from forecasted temperatures and precipitation. The climate change is becoming a major concern of our times. The effect of various climate scenarios on the seasonal snow cover and runoff is evaluated by the updated computer program which also enable the real-time runoff forecasts to be improved. As a final note, a method is outlined to predict the decline of glaciers in the warming climate.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.