FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA

Sayed M. Bateni; Mahdi Navari; Sujay Kumar; Essam Heggy

doi:10.1109/IGARSS47720.2021.9554893

FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA

Sayed M. Bateni
, Mahdi Navari
, Sujay Kumar
, Essam Heggy

University of Hawaii
University of Maryland, College Park
NASA Goddard Space Flight Center
University of Southern California
California Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Prior studies have shown that models and remote sensing data cannot accurately estimate snow emissivity due to limitations attributed to each of them. Hence, in this study, we merged Common Land Model (CLM) and snow emission (MEMLS) models with multi-frequency passive microwave data within an EnBS scheme to estimate snow emissivity. Its feasibility was tested via a test where passive microwave (at 1.4, 18.7, 36.5, and 87 GHz) measurements at the point scale were individually and simultaneously assimilated to estimate snow emissivity. The contribution of each channel in estimating the true snow emissivity is examined at the local-scale observation site of the National Aeronautics and Space Administration Cold Land Processes Experiment (NASA-CLPX) Field Campaign in Fall 2002-Winter 2003. All of the assimilated passive microwave measurements are found to contain complementary information for retrieving snow emissivity.

Original language	English
Title of host publication	IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5582-5585
Number of pages	4
ISBN (Electronic)	9781665403696
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554893
Publication status	Published - 2021
Externally published	Yes
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Online, Virtual, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Online, Virtual
Period	12/07/21 → 16/07/21

Keywords

data assimilation
Ensemble Batch Smoother (EnBS)
passive microwave data
Snow emissivity

Access to Document

10.1109/IGARSS47720.2021.9554893

Cite this

Bateni, S. M., Navari, M., Kumar, S., & Heggy, E. (2021). FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 5582-5585). (International Geoscience and Remote Sensing Symposium (IGARSS) ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS47720.2021.9554893

Bateni, Sayed M. ; Navari, Mahdi ; Kumar, Sujay et al. / FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 5582-5585 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

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title = "FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA",

abstract = "Prior studies have shown that models and remote sensing data cannot accurately estimate snow emissivity due to limitations attributed to each of them. Hence, in this study, we merged Common Land Model (CLM) and snow emission (MEMLS) models with multi-frequency passive microwave data within an EnBS scheme to estimate snow emissivity. Its feasibility was tested via a test where passive microwave (at 1.4, 18.7, 36.5, and 87 GHz) measurements at the point scale were individually and simultaneously assimilated to estimate snow emissivity. The contribution of each channel in estimating the true snow emissivity is examined at the local-scale observation site of the National Aeronautics and Space Administration Cold Land Processes Experiment (NASA-CLPX) Field Campaign in Fall 2002-Winter 2003. All of the assimilated passive microwave measurements are found to contain complementary information for retrieving snow emissivity.",

keywords = "data assimilation, Ensemble Batch Smoother (EnBS), passive microwave data, Snow emissivity",

author = "Bateni, \{Sayed M.\} and Mahdi Navari and Sujay Kumar and Essam Heggy",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554893",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

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Bateni, SM, Navari, M, Kumar, S & Heggy, E 2021, FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA. in IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS) , Institute of Electrical and Electronics Engineers Inc., pp. 5582-5585, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Online, Virtual, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554893

FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA. / Bateni, Sayed M.; Navari, Mahdi; Kumar, Sujay et al.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 5582-5585 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA

AU - Bateni, Sayed M.

AU - Navari, Mahdi

AU - Kumar, Sujay

AU - Heggy, Essam

PY - 2021

Y1 - 2021

N2 - Prior studies have shown that models and remote sensing data cannot accurately estimate snow emissivity due to limitations attributed to each of them. Hence, in this study, we merged Common Land Model (CLM) and snow emission (MEMLS) models with multi-frequency passive microwave data within an EnBS scheme to estimate snow emissivity. Its feasibility was tested via a test where passive microwave (at 1.4, 18.7, 36.5, and 87 GHz) measurements at the point scale were individually and simultaneously assimilated to estimate snow emissivity. The contribution of each channel in estimating the true snow emissivity is examined at the local-scale observation site of the National Aeronautics and Space Administration Cold Land Processes Experiment (NASA-CLPX) Field Campaign in Fall 2002-Winter 2003. All of the assimilated passive microwave measurements are found to contain complementary information for retrieving snow emissivity.

AB - Prior studies have shown that models and remote sensing data cannot accurately estimate snow emissivity due to limitations attributed to each of them. Hence, in this study, we merged Common Land Model (CLM) and snow emission (MEMLS) models with multi-frequency passive microwave data within an EnBS scheme to estimate snow emissivity. Its feasibility was tested via a test where passive microwave (at 1.4, 18.7, 36.5, and 87 GHz) measurements at the point scale were individually and simultaneously assimilated to estimate snow emissivity. The contribution of each channel in estimating the true snow emissivity is examined at the local-scale observation site of the National Aeronautics and Space Administration Cold Land Processes Experiment (NASA-CLPX) Field Campaign in Fall 2002-Winter 2003. All of the assimilated passive microwave measurements are found to contain complementary information for retrieving snow emissivity.

KW - data assimilation

KW - Ensemble Batch Smoother (EnBS)

KW - passive microwave data

KW - Snow emissivity

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DO - 10.1109/IGARSS47720.2021.9554893

M3 - Conference contribution

AN - SCOPUS:85129827428

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5582

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BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

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Y2 - 12 July 2021 through 16 July 2021

ER -

Bateni SM, Navari M, Kumar S, Heggy E. FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 5582-5585. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS47720.2021.9554893

FEASIBILITY OF ESTIMATING SNOW EMISSIVITY VIA ASSIMILATION OF MULTIFREQUENCY PASSIVE MICROWAVE DATA

Abstract

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Keywords

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