Review of snow water equivalent microwave remote sensing

Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow...
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Autor*in:	Shi, JianCheng [verfasserIn] Xiong, Chuan [verfasserIn] Jiang, LingMei [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Snow Microwave remote sensing Model Inversion

Übergeordnetes Werk:	Enthalten in: Science in China - Heidelberg : Springer, 1997, 59(2016), 4 vom: 07. Jan., Seite 731-745
Übergeordnetes Werk:	volume:59 ; year:2016 ; number:4 ; day:07 ; month:01 ; pages:731-745

Links:	Volltext

DOI / URN:	10.1007/s11430-015-5225-0

Katalog-ID:	SPR019246757

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allfields	10.1007/s11430-015-5225-0 doi (DE-627)SPR019246757 (SPR)s11430-015-5225-0-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Shi, JianCheng verfasserin aut Review of snow water equivalent microwave remote sensing 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213 Xiong, Chuan verfasserin aut Jiang, LingMei verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 59(2016), 4 vom: 07. Jan., Seite 731-745 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:59 year:2016 number:4 day:07 month:01 pages:731-745 https://dx.doi.org/10.1007/s11430-015-5225-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 59 2016 4 07 01 731-745
spelling	10.1007/s11430-015-5225-0 doi (DE-627)SPR019246757 (SPR)s11430-015-5225-0-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Shi, JianCheng verfasserin aut Review of snow water equivalent microwave remote sensing 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213 Xiong, Chuan verfasserin aut Jiang, LingMei verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 59(2016), 4 vom: 07. Jan., Seite 731-745 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:59 year:2016 number:4 day:07 month:01 pages:731-745 https://dx.doi.org/10.1007/s11430-015-5225-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 59 2016 4 07 01 731-745
allfields_unstemmed	10.1007/s11430-015-5225-0 doi (DE-627)SPR019246757 (SPR)s11430-015-5225-0-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Shi, JianCheng verfasserin aut Review of snow water equivalent microwave remote sensing 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213 Xiong, Chuan verfasserin aut Jiang, LingMei verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 59(2016), 4 vom: 07. Jan., Seite 731-745 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:59 year:2016 number:4 day:07 month:01 pages:731-745 https://dx.doi.org/10.1007/s11430-015-5225-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 59 2016 4 07 01 731-745
allfieldsGer	10.1007/s11430-015-5225-0 doi (DE-627)SPR019246757 (SPR)s11430-015-5225-0-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Shi, JianCheng verfasserin aut Review of snow water equivalent microwave remote sensing 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213 Xiong, Chuan verfasserin aut Jiang, LingMei verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 59(2016), 4 vom: 07. Jan., Seite 731-745 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:59 year:2016 number:4 day:07 month:01 pages:731-745 https://dx.doi.org/10.1007/s11430-015-5225-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 59 2016 4 07 01 731-745
allfieldsSound	10.1007/s11430-015-5225-0 doi (DE-627)SPR019246757 (SPR)s11430-015-5225-0-e DE-627 ger DE-627 rakwb eng 550 ASE 38.00 bkl Shi, JianCheng verfasserin aut Review of snow water equivalent microwave remote sensing 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized. Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213 Xiong, Chuan verfasserin aut Jiang, LingMei verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 59(2016), 4 vom: 07. Jan., Seite 731-745 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:59 year:2016 number:4 day:07 month:01 pages:731-745 https://dx.doi.org/10.1007/s11430-015-5225-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 38.00 ASE AR 59 2016 4 07 01 731-745
language	English
source	Enthalten in Science in China 59(2016), 4 vom: 07. Jan., Seite 731-745 volume:59 year:2016 number:4 day:07 month:01 pages:731-745
sourceStr	Enthalten in Science in China 59(2016), 4 vom: 07. Jan., Seite 731-745 volume:59 year:2016 number:4 day:07 month:01 pages:731-745
format_phy_str_mv	Article
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topic_facet	Snow Microwave remote sensing Model Inversion
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authorswithroles_txt_mv	Shi, JianCheng @@aut@@ Xiong, Chuan @@aut@@ Jiang, LingMei @@aut@@
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author	Shi, JianCheng
spellingShingle	Shi, JianCheng ddc 550 bkl 38.00 misc Snow misc Microwave remote sensing misc Model misc Inversion Review of snow water equivalent microwave remote sensing
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topic_title	550 ASE 38.00 bkl Review of snow water equivalent microwave remote sensing Snow (dpeaa)DE-He213 Microwave remote sensing (dpeaa)DE-He213 Model (dpeaa)DE-He213 Inversion (dpeaa)DE-He213
topic	ddc 550 bkl 38.00 misc Snow misc Microwave remote sensing misc Model misc Inversion
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title_sort	review of snow water equivalent microwave remote sensing
title_auth	Review of snow water equivalent microwave remote sensing
abstract	Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized.
abstractGer	Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized.
abstract_unstemmed	Abstract Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized.
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title_short	Review of snow water equivalent microwave remote sensing
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