Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS
Open Access
- 17 June 2022
- journal article
- research article
- Published by Copernicus GmbH in Hydrology and Earth System Sciences
- Vol. 26 (12), 3055-3077
- https://doi.org/10.5194/hess-26-3055-2022
Abstract
Given the importance of snow on different land and atmospheric processes, accurate representation of seasonal snow evolution, including distribution and melt volume, is highly imperative to any water resources development trajectories. The limitation of reliable snowmelt estimation in mountainous regions is, however, further exacerbated by data scarcity. This study attempts to develop relatively simple extended degree-day snow models driven by freely available snow-cover images. This approach offers relative simplicity and a plausible alternative to data-intensive models, as well as in situ measurements, and has a wide range of applicability, allowing for immediate verification with point measurements. The methodology employs readily available MODIS composite images to calibrate the snowmelt models on spatial snow distribution in contrast to the traditional snow-water-equivalent-based calibration. The spatial distribution of snow-cover is simulated using different extended degree-day models with parameters calibrated against individual MODIS snow-cover images for cloud-free days or a set of images representing a period within the snow season. The study was carried out in Baden-Württemberg (Germany) and in Switzerland. The simulated snow-cover data show very good agreement with MODIS snow-cover distribution, and the calibrated parameters exhibit relative stability across the time domain. Furthermore, different thresholds that demarcate snow and no-snow pixels for both observed and simulated snow cover were analyzed to evaluate these thresholds' influence on the model performance and identified for the study regions. The melt data from these calibrated snow models were used as standalone inputs to a modified Hydrologiska Byråns Vattenbalansavdelning (HBV) without the snow component in all the study catchments to assess the performance of the melt outputs in comparison to a calibrated standard HBV model. The results show an overall increase in Nash–Sutcliffe efficiency (NSE) performance and a reduction in uncertainty in terms of model performance. This can be attributed to the reduction in the number of parameters available for calibration in the modified HBV and an added reliability of the snow accumulation and melt processes inherent in the MODIS calibrated snow model output. This paper highlights that the calibration using readily available images used in this method allows for a flexible regional calibration of snow-cover distribution in mountainous areas with reasonably accurate precipitation and temperature data and globally available inputs. Likewise, the study concludes that simpler specific alterations to processes contributing to snowmelt can contribute to reliably identify the snow distribution and bring about improvements in hydrological simulations, owing to better representation of the snow processes in snow-dominated regimes.Keywords
This publication has 36 references indexed in Scilit:
- Editorial "Remote sensing in hydrological sciences"Hydrology and Earth System Sciences, 2009
- New methods for studying the spatiotemporal variation of snow cover based on combination products of MODIS Terra and AquaJournal of Hydrology, 2009
- Modelling and forecasting snowmelt runoff process using the HBV model in the eastern part of TurkeyHydrological Processes, 2009
- The Impact of Snow Model Complexity at Three CLPX SitesJournal of Hydrometeorology, 2008
- Robust estimation of hydrological model parametersHydrology and Earth System Sciences, 2008
- The value of MODIS snow cover data in validating and calibrating conceptual hydrologic modelsJournal of Hydrology, 2008
- Improving runoff modelling using satellite-derived snow covered area?Hydrology Research, 2007
- Temperature index melt modelling in mountain areasJournal of Hydrology, 2003
- Multivariate geostatistical analysis of evapotranspiration and precipitation in mountainous terrainJournal of Hydrology, 1996
- Mapping temperature using kriging with external drift: Theory and an example from scotlandInternational Journal of Climatology, 1994