Articles | Volume 9, issue 2
https://doi.org/10.5194/tc-9-451-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-451-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Mar 2015
Research article |
| 04 Mar 2015
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data
A. Gafurov
CORRESPONDING AUTHOR
Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
S. Vorogushyn
Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
D. Farinotti
now at: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
D. Duethmann
Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
A. Merkushkin
Uzbek Hydrometeorological Service (Uzhydromet), Tashkent, Uzbekistan
Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
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Cited
29 citations as recorded by crossref.
- Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios D. Singh et al. 10.1016/j.jhydrol.2022.127648
- Probabilistic Snow Cover and Ensemble Streamflow Estimations in the Upper Euphrates Basin A. Şorman et al. 10.2478/johh-2018-0025
- Cloud–Snow Confusion with MODIS Snow Products in Boreal Forest Regions X. Wang et al. 10.3390/rs14061372
- The recent developments in cloud removal approaches of MODIS snow cover product X. Li et al. 10.5194/hess-23-2401-2019
- Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al. 10.1109/TGRS.2022.3178421
- STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. 10.5194/essd-14-3137-2022
- Synthesizing long-term satellite imagery consistent with climate data: Application to daily snow cover F. Zakeri & G. Mariethoz 10.1016/j.rse.2023.113877
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong 10.1016/j.jhydrol.2018.04.027
- A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. 10.1109/JSTARS.2021.3103585
- Multi-Source Based Spatio-Temporal Distribution of Snow in a Semi-Arid Headwater Catchment of Northern Mongolia M. Munkhjargal et al. 10.3390/geosciences9010053
- A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling S. Chen et al. 10.3390/rs12213577
- From Doktor Kurowski's Schneegrenze to our modern glacier equilibrium line altitude (ELA) R. Braithwaite 10.5194/tc-9-2135-2015
- Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data C. Dong & L. Menzel 10.1016/j.rse.2016.09.019
- Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau X. Hao et al. 10.1080/17538947.2017.1421721
- Snow Cover Variability in the Greater Alpine Region in the MODIS Era (2000–2019) D. Fugazza et al. 10.3390/rs13152945
- Evaluation of snow cover and snow depth on the Qinghai–Tibetan Plateau derived from passive microwave remote sensing L. Dai et al. 10.5194/tc-11-1933-2017
- Evaluation of High Mountain Asia‐Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper‐Resolution Terrestrial Modeling System Y. Xue et al. 10.1029/2020JD034131
- Gap-Filling of a MODIS Normalized Difference Snow Index Product Based on the Similar Pixel Selecting Algorithm: A Case Study on the Qinghai–Tibetan Plateau M. Li et al. 10.3390/rs12071077
- Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series S. Chen et al. 10.1109/JSTARS.2020.2993037
- Satellite observed spatiotemporal variability of snow cover and snow phenology over high mountain Asia from 2002 to 2021 Z. Tang et al. 10.1016/j.jhydrol.2022.128438
- Assessment of snow cover variability and its sensitivity to hydrometeorological factors in the Karakoram and Himalayan region J. Dharpure et al. 10.1080/02626667.2021.1985125
- Jeoid Değişimlerinin ICESat Altimetre Verisi ile Hesaplanan Su Seviyelerine Etkisi F. SAKA et al. 10.18400/tekderg.634227
- Snow Cover Distribution in the Aksu Catchment (Central Tien Shan) 1986–2013 Based on AVHRR and MODIS Data J. Peters et al. 10.1109/JSTARS.2015.2477108
- Prediction of Snowmelt Days Using Binary Logistic Regression in the Umbria-Marche Apennines (Central Italy) M. Gentilucci & G. Pambianchi 10.3390/w14091495
- A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau . Jing et al. 10.3390/rs11192261
- Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. 10.3390/rs16010192
- Hotspots of snow cover changes in global mountain regions over 2000–2018 C. Notarnicola 10.1016/j.rse.2020.111781
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin A. Şensoy et al. 10.1007/s00704-022-04292-1
- MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data A. Gafurov et al. 10.1007/s12665-016-5869-x
29 citations as recorded by crossref.
- Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios D. Singh et al. 10.1016/j.jhydrol.2022.127648
- Probabilistic Snow Cover and Ensemble Streamflow Estimations in the Upper Euphrates Basin A. Şorman et al. 10.2478/johh-2018-0025
- Cloud–Snow Confusion with MODIS Snow Products in Boreal Forest Regions X. Wang et al. 10.3390/rs14061372
- The recent developments in cloud removal approaches of MODIS snow cover product X. Li et al. 10.5194/hess-23-2401-2019
- Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al. 10.1109/TGRS.2022.3178421
- STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. 10.5194/essd-14-3137-2022
- Synthesizing long-term satellite imagery consistent with climate data: Application to daily snow cover F. Zakeri & G. Mariethoz 10.1016/j.rse.2023.113877
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong 10.1016/j.jhydrol.2018.04.027
- A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. 10.1109/JSTARS.2021.3103585
- Multi-Source Based Spatio-Temporal Distribution of Snow in a Semi-Arid Headwater Catchment of Northern Mongolia M. Munkhjargal et al. 10.3390/geosciences9010053
- A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling S. Chen et al. 10.3390/rs12213577
- From Doktor Kurowski's Schneegrenze to our modern glacier equilibrium line altitude (ELA) R. Braithwaite 10.5194/tc-9-2135-2015
- Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data C. Dong & L. Menzel 10.1016/j.rse.2016.09.019
- Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau X. Hao et al. 10.1080/17538947.2017.1421721
- Snow Cover Variability in the Greater Alpine Region in the MODIS Era (2000–2019) D. Fugazza et al. 10.3390/rs13152945
- Evaluation of snow cover and snow depth on the Qinghai–Tibetan Plateau derived from passive microwave remote sensing L. Dai et al. 10.5194/tc-11-1933-2017
- Evaluation of High Mountain Asia‐Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper‐Resolution Terrestrial Modeling System Y. Xue et al. 10.1029/2020JD034131
- Gap-Filling of a MODIS Normalized Difference Snow Index Product Based on the Similar Pixel Selecting Algorithm: A Case Study on the Qinghai–Tibetan Plateau M. Li et al. 10.3390/rs12071077
- Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series S. Chen et al. 10.1109/JSTARS.2020.2993037
- Satellite observed spatiotemporal variability of snow cover and snow phenology over high mountain Asia from 2002 to 2021 Z. Tang et al. 10.1016/j.jhydrol.2022.128438
- Assessment of snow cover variability and its sensitivity to hydrometeorological factors in the Karakoram and Himalayan region J. Dharpure et al. 10.1080/02626667.2021.1985125
- Jeoid Değişimlerinin ICESat Altimetre Verisi ile Hesaplanan Su Seviyelerine Etkisi F. SAKA et al. 10.18400/tekderg.634227
- Snow Cover Distribution in the Aksu Catchment (Central Tien Shan) 1986–2013 Based on AVHRR and MODIS Data J. Peters et al. 10.1109/JSTARS.2015.2477108
- Prediction of Snowmelt Days Using Binary Logistic Regression in the Umbria-Marche Apennines (Central Italy) M. Gentilucci & G. Pambianchi 10.3390/w14091495
- A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau . Jing et al. 10.3390/rs11192261
- Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. 10.3390/rs16010192
- Hotspots of snow cover changes in global mountain regions over 2000–2018 C. Notarnicola 10.1016/j.rse.2020.111781
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin A. Şensoy et al. 10.1007/s00704-022-04292-1
- MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data A. Gafurov et al. 10.1007/s12665-016-5869-x
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Short summary
Spatially distributed snow-cover data are available only for the recent past from remote sensing. Sometimes we need snow-cover data over a longer period for climate impact analysis for the calibration/validation of hydrological models. In this study we present a methodology to reconstruct snow cover in the past using available long-term in situ data and recently available remote sensing snow-cover data. The results show about 85% accuracy although only a limited number of stations (7) were used.
Spatially distributed snow-cover data are available only for the recent past from remote...
