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The contribution of AMSR-E 18.7 and 10.7 GHz measurements to improved boreal forest snow water equivalent retrievals

Chris Derksen
2008 Remote Sensing of Environment  
Four seasons (2004)(2005)(2006)(2007) of snow surveys across the boreal forest of northern Manitoba were utilized to determine the response of Advanced Microwave Scanning Radiometer (AMSR-E) brightness  ...  temperatures to variability in snow water equivalent (SWE).  ...  Passive microwave snow water equivalent (SWE) retrieval algorithms typically exploit the difference between a measurement frequency sensitive to snow grain volume scatter (~37 GHz) with a measurement frequency  ... 
doi:10.1016/j.rse.2008.01.001 fatcat:j36wnd3n45h7tmlrvd67myuwoe

Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

F. Joseph Turk, Sarah E. Ringerud, Andrea Camplani, Daniele Casella, Randy J. Chase, Ardeshir Ebtehaj, Jie Gong, Mark Kulie, Guosheng Liu, Lisa Milani, Giulia Panegrossi, Ramon Padullés (+4 others)
2021 Remote Sensing  
cold-season precipitation from DPR and the GPM passive microwave constellation sensors.  ...  In this manuscript, the use of near-coincident observations between GPM and the CloudSat Profiling Radar (CPR) (W-band, or 94 GHz) are demonstrated to extend the capability of representing light rain and  ...  in the passive PD signals.  ... 
doi:10.3390/rs13122264 fatcat:to5pfxa7jrhcxgomjnar33oaoe

Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States

Carrie M. Vuyovich, Jennifer M. Jacobs, Steven F. Daly
2014 Water Resources Research  
Passive microwave SWE retrieval algorithms have typically relied on empirical relationships between either snow depth or SWE and frequency dependent signal scattering through the snowpack at different  ...  Results show large areas where the passive microwave retrievals are highly correlated to the SNODAS data, particularly in the northern Great Plains and southern Rocky Mountain regions.  ...  An estimate of the SWE is obtained by taking the difference between the return signals at two different passive microwave frequencies: a low frequency, typically 18-19 GHz, where scattering by snow is  ... 
doi:10.1002/2013wr014734 fatcat:tjcifesv3jh7jmsf2vl7rkhy2e

Microphysical properties of three types of snow clouds: implication for satellite snowfall retrievals

Hwayoung Jeoung, Guosheng Liu, Kwonil Kim, Gyuwon Lee, Eun-Kyoung Seo
2020 Atmospheric Chemistry and Physics  
This study provides a general picture of the microphysical characteristics of the different types of snow clouds and points out the associated challenges in retrieving their snowfall rate from passive  ...  Based on all observed snow profiles, brightness temperatures at Global Precipitation Measurement Microwave Imager (GPM/GMI) channels are simulated, and the ability of a Bayesian algorithm to retrieve snowfall  ...  of snow clouds and points out the fundamental challenges in retrieving their snowfall rate from passive microwave observations.  ... 
doi:10.5194/acp-20-14491-2020 fatcat:5el7zbry6fb5jnugxwvpzjqh2u

A Dynamic Snow Depth Inversion Algorithm Derived from AMSR2 Passive Microwave Brightness Temperature Data and Snow Characteristics in Northeast China

Yanlin Wei, Xiaofeng Li, Lingjia Gu, Ming xing Zheng, Tao Jiang, Xiaojie Li, Xiangkun Wan
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Snow cover plays an important role in climate, hydrology, and ecosystem. At present, passive microwave remote sensing is the most effective method for monitoring global and regional snow depth (SD).  ...  A snow survey experiment was designed to collect snow characteristics in different periods in Northeast China, and the microwave emission model of layered snowpacks (MEMLS) was applied to simulate brightness  ...  Passive microwave can penetrate dry snow and detect the volume scattering signal of snow particles, however, when the snow is wet, the microwave signal changes dramatically [48] , [49] .  ... 
doi:10.1109/jstars.2021.3079703 fatcat:clekiwrgovhfxhgcfyia72bj5u

Satellite-Based Snow Cover Analysis and the Snow Water Equivalent Retrieval Perspective over China [chapter]

Yubao Qiu, Huadong Guo, Jiancheng Shi, Juha Lemmetyine
2012 Remote Sensing of Planet Earth  
the perspective view of the shallow snow retrieval analysis based on the passive microwave high frequency.  ...  the climatological characteristics and time series analysis over Tibetan Plateau area and study the new snow-retrieval algorithm over China area which often experiences the shallow snow situation.  ...  Acknowledgement This work is now supported by the Chinese "973" Program "Earth Observation for Sensitive References Remote Sensing of Planet Earth  ... 
doi:10.5772/32090 fatcat:bxh2jopaejbipdzk4aysicc2t4

CloudSat-Based Assessment of GPM Microwave Imager Snowfall Observation Capabilities

Giulia Panegrossi, Jean-François Rysman, Daniele Casella, Anna Marra, Paolo Sanò, Mark Kulie
2017 Remote Sensing  
The findings presented in this study can be exploited to improve passive microwave snowfall detection algorithms.  ...  The sensitivity of Global Precipitation Measurement (GPM) Microwave Imager (GMI) high-frequency channels to snowfall at higher latitudes (around 60 • N/S) is investigated using coincident CloudSat observations  ...  on the use of combined spaceborne active and passive microwave observations for precipitation retrieval".  ... 
doi:10.3390/rs9121263 fatcat:v3urxsnqv5cs7kxajnax3ujt2y

Estimating terrestrial snow depth with the TOPEX-Poseidon altimeter and radiometer

F. Papa, B. Legresy, N.M. Mognard, E.G. Josberger, F. Remy
2002 IEEE Transactions on Geoscience and Remote Sensing  
Active and passive microwave measurements obtained by the dual-frequency Topex-Poseidon radar altimeter from the Northern Great Plains of the United States are used to develop a snow pack radar backscatter  ...  Comparing the snow depth determinations derived from the Topex-Poseidon nadir-looking passive microwave radiometers with the oblique-looking Satellite Sensor Microwave Imager (SSM/I) passive microwave  ...  ACKNOWLEDGMENT The data were provided by the Centre de Topographie des Oceans (CTO) at the Laboratoire d'Etudes en Geophysique et Oceanographie Spatiale (LEGOS). We would like to thank G.  ... 
doi:10.1109/tgrs.2002.802463 fatcat:xjxtoi32zzathiqiokwyla7yye

Snow depth derived from passive microwave remote-sensing data in China

Tao Che, Xin Li, Rui Jin, Richard Armstrong, Tingjun Zhang
2008 Annals of Glaciology  
In this study, we report on the spatial and temporal distribution of seasonal snow depth derived from passive microwave satellite remote-sensing data (e.g.  ...  Though the areal extent of seasonal snow cover in the Northern Hemisphere indicates a weak decrease over a long period, there is no clear trend in change of snow-cover area extent in China.  ...  ACKNOWLEDGEMENTS We thank the NSIDC for providing the passive microwave remote-sensing data, and the Chinese Meteorological Administration for providing the snow-depth data of the  ... 
doi:10.3189/172756408787814690 fatcat:kolcyekomnbgxhac2bsuqtvina

Quantifying the uncertainty in passive microwave snow water equivalent observations

James L. Foster, Chaojiao Sun, Jeffrey P. Walker, Richard Kelly, Alfred Chang, Jiarui Dong, Hugh Powell
2005 Remote Sensing of Environment  
An ongoing study is applying this methodology to passive microwave measurements from 28 Scanning Multichannel Microwave Radiometer (SMMR); future study will further refine and extend the analysis globally  ...  However, the errors 17 associated with the passive microwave measurements of snow water equivalent are well known but have not been adequately quantified thus 18 far.  ...  U N C O R R E C T E D P R O O F ARTICLE IN PRESS 1 2 Quantifying the uncertainty in passive microwave snow water 3 equivalent observations 32 33 1.  ... 
doi:10.1016/j.rse.2004.09.012 fatcat:u7ejc4zcyzerxoaadljffgpi6a

Deriving snow cloud characteristics from CloudSat observations

Guosheng Liu
2008 Journal of Geophysical Research  
The results show that: (1) In the southern hemisphere, there is an almost zonally orientated high snowfall zone centered around 60ºS, where both snowfall frequency and rate are high.  ...  (4) The characteristics of the vertical distribution of snowfall rate are quite similar for over-ocean and over-land snow clouds, except that over-land snow clouds seem to be somewhat shallower than those  ...  Therefore, a second purpose of the study is to produce a collection of snowfall profiles, which later can be used to build a database used in passive high-frequency microwave -3 -snowfall retrieval algorithms  ... 
doi:10.1029/2007jd009766 fatcat:uqhxwxzyhnetdbk44mpi6iuviy

A review of global satellite-derived snow products

Allan Frei, Marco Tedesco, Shihyan Lee, James Foster, Dorothy K. Hall, Richard Kelly, David A. Robinson
2012 Advances in Space Research  
Snow cover over the Northern Hemisphere plays a crucial role in the Earth's hydrology and surface energy balance, and modulates feedbacks that control variations of global climate.  ...  For example, a large component of the freshwater flux into the Arctic Ocean comes from snow melt.  ...  in Downsview, Ontario.  ... 
doi:10.1016/j.asr.2011.12.021 fatcat:wad4qr5nyzhb7aoqpyuvbx2j5m

Satellite Microwave Remote Sensing of Boreal and Arctic Soil Temperatures From AMSR-E

L.A. Jones, J.S. Kimball, K.C. McDonald, S.T.K. Chan, E.G. Njoku, W.C. Oechel
2007 IEEE Transactions on Geoscience and Remote Sensing  
These results indicate that at high latitudes, the influence of the atmosphere may be less important than that of surface conditions in determining the relative accuracy of the estimated soil temperature  ...  The seasonal pattern of microwave emission and relative accuracy of the soil temperature retrievals are influenced strongly by landscape properties, including the presence of open water, vegetation type  ...  collection of field data and generously allowing the authors to use it for this study.  ... 
doi:10.1109/tgrs.2007.898436 fatcat:cyzp22uw25dglemh7j74apqnwm

The Canadian boreal snow water equivalent band

C. Derksen, M. MacKay
A control simulation produced monthly patterns of SWE distribution that closely matched the passive microwave retrievals.  ...  SWE coefficient of variation (CV) patterns derived from a monthly averaged passive microwave derived time series show a high degree of interannual variability across open prairie, southern boreal, and  ...  Thanks to personnel from the Climate Processes Section of the Climate Research Division and the Hydraulic Engineering and Operations Department of Manitoba Hydro for conducting the snow surveys.  ... 
doi:10.3137/ao.440307 fatcat:6a57iroo6nbtla7pa4h6dgvzie

A Machine Learning Snowfall Retrieval Algorithm for ATMS

Paolo Sanò, Daniele Casella, Andrea Camplani, Leo Pio D'Adderio, Giulia Panegrossi
2022 Remote Sensing  
This article describes the development of a machine learning (ML)-based algorithm for snowfall retrieval (Snow retrievaL ALgorithm fOr gpM–Cross Track, SLALOM-CT), exploiting ATMS radiometer measurements  ...  While a convolutional NN was the most accurate for the snowfall detection module, a shallow NN was selected for all other modules. SLALOM-CT showed a high degree of consistency with CPR.  ...  The authors wish to express their sincere gratitude to Joe Turk (NASA JPL) for the coordination activity in the PMM Land surface Working Group.  ... 
doi:10.3390/rs14061467 fatcat:4a7srhur7jgeblnix6c46db3oe
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