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A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data

KeBiao Mao, JianCheng Shi, ZhaoLiang Li, ZhiHao Qin, ManChun Li, Bin Xu
2007 Science in China Series D Earth Sciences  
AMSR-E and MODIS are two EOS (Earth Observing System) instruments on board the Aqua satellite.  ...  The average land surface temperature error is about 2-3℃ relative to the MODIS LST product. brightness temperature, LST, AMSR-E, MODIS, AIEM  ...  temperature of AMSR-E, and then find the best method to eliminate the influence of soil water and atmosphere water by simulation of AIEM model.  ... 
doi:10.1007/s11430-007-2053-x fatcat:v23diwmcqjc7dl6vvyerg3r3dq

Soil Moisture Remote Sensing for Numerical Weather Prediction: L-Band and C-Band Emission Modeling Over Land Surfaces, the Community Microwave Emission Model (CMEM)

P. de Rosnay, M. Drusch, J.-P. Wigneron, T. Holmes, G. Balsamo, A. Boone, C. Rudiger, J.-C. Calvet, Y. Kerr
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
The Community Microwave Emission Model (CMEM) is the low frequency forward observation operator developed at ECMWF.  ...  Background errors in simulated brightness temperatures are quantified at different frequencies and incidence angles for these two sites.  ...  Simulated brightness temperatures (TB) by different ALMIP land surface models-CMEM are evaluated against AMSR-E C-band data for 2006.  ... 
doi:10.1109/igarss.2008.4779054 dblp:conf/igarss/RosnayDWHBBRCK08 fatcat:hgyupzg3v5dojd7qt4g2mlybbe

A Parameterized Microwave Emissivity Model for Bare Soil Surfaces

Yanhui Xie, Jiancheng Shi, Dabin Ji, Jiqin Zhong, Shuiyong Fan
2017 Remote Sensing  
The parameterized soil surface emissivity model is applied to simulate satellite measurements of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E).  ...  A comparison with the AIEM simulated data indicates that the absolute error of effective reflectivity estimated by the parameterized soil surface emissivity model is small with a magnitude of 10 −2 .  ...  All of those data along with the parameterized soil surface emissivity model were used to simulate the brightness temperature from AMSR-E channels.  ... 
doi:10.3390/rs9020155 fatcat:f4dt6qayubdqfevgeejhftrvey

AMMA Land Surface Model Intercomparison Experiment coupled to the Community Microwave Emission Model: ALMIP-MEM

P. de Rosnay, M. Drusch, A. Boone, G. Balsamo, B. Decharme, P. Harris, Y. Kerr, T. Pellarin, J. Polcher, J.-P. Wigneron
2009 Journal of Geophysical Research  
Simulations have been performed for an incidence angle of 55°, and results are evaluated against C-band satellite data from the Advanced Microwave Scanning Radiometer on Earth Observing System (AMSR-E)  ...  For most of the LSMs, the Kirdyashev opacity model is the most suitable to simulate TOA brightness temperature in best agreement with the AMSR-E data.  ...  This triangular comparison between our simulations of soil moisture and TB with field and AMSR-E data provides a validation of the precipitation forcing, the LSMs and the microwave emission model on this  ... 
doi:10.1029/2008jd010724 fatcat:4uzipio3mfgvfay5naputiylvi

An Updated Geophysical Model for AMSR-E and SSMIS Brightness Temperature Simulations over Oceans

Elizaveta Zabolotskikh, Leonid Mitnik, Bertrand Chapron
2014 Remote Sensing  
We demonstrated the application of the model by means of the development of the new algorithm for sea surface wind speed retrieval from AMSR-E data. OPEN ACCESS Remote Sens. 2014, 6 2318  ...  We validated this model for two satellite instruments-for Advanced Microwave Sounding Radiometer-Earth Observing System (AMSR-E) onboard Aqua satellite and for Special Sensor Microwave Imager/Sounder (  ...  Leonid Mitnik took part in the forward modeling, literature review and analysis. Bertrand Chapron is the originator of the wind speed emissivity model.  ... 
doi:10.3390/rs6032317 fatcat:ztuisasaijdv5i662qvbjwha5q

Soil moisture mapping over West Africa with a 30-min temporal resolution using AMSR-E observations and a satellite-based rainfall product

T. Pellarin, T. Tran, J.-M. Cohard, S. Galle, J.-P. Laurent, P. de Rosnay, T. Vischel
2009 Hydrology and Earth System Sciences  
For this reason, a technique based on assimilating AMSR-E C-band measurements into a microwave emission model was developed in which the estimated rainfall rates between two successive AMSR-E brightness  ...  temperature (TB) measurements are adjusted by multiplying them by a factor between 0 and 7 that minimizes the difference between simulated and observed TBs.  ...  The authors wish to thank the National Snow and Ice Data Center (NSIDC) for providing AMSR-E/Aqua daily L3 surface soil moisture data (AMSR-E/Aqua daily L3 surface soil moisture, interpretive parms, and  ... 
doi:10.5194/hess-13-1887-2009 fatcat:oe64byyh3ngw3obuxltjn5d25e

New dual-frequency microwave technique for retrieving liquid water path over land

M. N. Deeter, J. Vivekanandan
2006 Journal of Geophysical Research  
As input, the technique exploits Advanced Microwave Scanning Radiometer for EOS (AMSR-E) brightness temperature polarization-difference signals at 37 and 89 GHz.  ...  The new methodology is demonstrated and validated using several months of AMSR-E observations over (1) the Southern Great Plains (SGP) of the United States and (2) an area near Montreal, Canada, instrumented  ...  AMSR-E data were obtained from the National Snow and Ice Data Center through the EOS Data Gateway at http:// redhook.gsfc.nasa.gov/imswww/pub/imswelcome/.  ... 
doi:10.1029/2005jd006784 fatcat:zs5edhv735dv7m7f3zpkpcomou

Applicability of Multi-Frequency Passive Microwave Observations and Data Assimilation Methods for Improving NumericalWeather Forecasting in Niger, Africa

Mohamed Rasmy, Toshio Koike, Xin Li
2014 Remote Sensing  
simulation of temperature and humidity profiles.  ...  The development of satellite-based forecasting systems is one of the few affordable solutions for developing regions (e.g., West Africa) that cannot afford ground-based observation networks.  ...  Acknowledgments This research was carried out as part of the Research Program on Climate Change Adaptation (RECCA), verification experiment for AMSR-E/AMSR-2 (GCOM-W), and Data Integration and Analysis  ... 
doi:10.3390/rs6065306 fatcat:4vh4qn3c6zb6jlehwbpnbhubti

Hourly soil moisture mapping over West Africa using AMSR-E observations and a satellite-based rainfall product

T. Pellarin, T. Tran, J.-M. Cohard, S. Galle, J.-P. Laurent, P. de Rosnay, T. Vischel
2009 Hydrology and Earth System Sciences Discussions  
An assimilation technique based on AMSR-E C-band measurements into a microwave emission model was developed.  ...  The assimilation technique described in this study consists of modulating the rainfall accumulation estimate be-15 tween two successive AMSR-E brightness temperatures (TB) measurements in order to match  ...  Method The approach is based on the assimilation of AMSR-E microwave brightness temper-5 atures (TB) into a simple Antecedent Precipitation Index (API) model coupled with a microwave emission model.  ... 
doi:10.5194/hessd-6-4035-2009 fatcat:alqvq5puwnf7dclhklqhfbavhe

Estimation of Snow Depth over the Qinghai-Tibetan Plateau Based on AMSR-E and MODIS Data

Liyun Dai, Tao Che, Hongjie Xie, Xuejiao Wu
2018 Remote Sensing  
In this method, the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) brightness temperature and MODIS LST are used to calculate ground emissivity.  ...  Additionally, the microwave emission model of layered snowpacks (MEMLS) is applied to simulate brightness temperature with varying ground emissivities to determine the key coefficients in the snow depth  ...  Therefore, in the future, ground-based microwave radiometer observations will be carried out to develop a suitable model for simulating the emissivity of the frozen ground.  ... 
doi:10.3390/rs10121989 fatcat:54h6attbwjfodmj4serjsni4jm

Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China

Hui Tian, Mudassar Iqbal
2018 Journal of Arid Land  
Since the early 2000s, many satellite passive microwave brightness temperature (BT) archives, such as the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) BTs, have become  ...  Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China.  ...  The authors would also like to thank National Snow and Ice Data Center (NSIDC) of USA for providing the AMSR-E BT data.  ... 
doi:10.1007/s40333-017-0075-6 fatcat:ag5wuegijnakjgr5lmwbeot2oe

Modification and Application of the Satellite-Based Land Data Assimilation Scheme for Very Dry Soil Regions Using AMSR-E Images: Model Validation for Mongolia—a CEOP data platform

Pathmathevan MAHADEVAN, Toshio KOIKE, Hideyuki FUJII, Katsunori TAMAGAWA, Xin LI, Ichirow KAIHOTSU
2007 Journal of the Meteorological Society of Japan  
and canopy temperatures by comparing passive microwave observations using a unique minimization technique termed Very Fast Simulated Annealing (VFSA).  ...  To validate our new LDAS, AMSR-E observations, gathered in Mongolia, were assimilated into the Land Surface Model (LSM) via the modified RTM.  ...  We validate this approach using microwave observations derived from AMSR-E.  ... 
doi:10.2151/jmsj.85a.243 fatcat:vo5z7durrfdijigc6d4rbwmyey

Estimation of improved resolution soil moisture in vegetated areas using passive AMSR-E data

Mina Moradizadeh, Mohammad R Saradjian
2018 Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences  
There are large number of models that retrieve soil parameters by the use of passive microwave and Singh et al. (2015a) provided detailed procedure of various steps to utilize AMSR-E data.  ...  The set of experimental data can be downloaded freely from http://nsidc.org/data/amsr validation /soil moisture/smex03/index.html.  ... 
doi:10.1007/s12040-018-0925-4 fatcat:otffmtytgff2tho6a7bwfa3g2u

Multimodel Estimation of Snow Microwave Emission during CLPX 2003 Using Operational Parameterization of Microphysical Snow Characteristics

Rafał Wójcik, Konstantinos Andreadis, Marco Tedesco, Eric Wood, Tara Troy, Dennis Lettenmeier
2008 Journal of Hydrometeorology  
Estimated brightness temperature is validated against the satellite [Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E)] data at two sites from the Cold Land Processes Experiment  ...  This paper compares snow brightness temperatures predicted by three SEMs using, as inputs, predicted snowpack characteristics from the Variable Infiltration Capacity (VIC) model.  ...  This research was possible through support from the NOAA Joint Center for Satellite Data Assimilation (resulting in the Development of Improved Forward Models for the Retrieval of Snow Properties using  ... 
doi:10.1175/2008jhm909.1 fatcat:o4ixhirovrgzvd7ian52kkrcci

Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau

Mohamed Rasmy, Toshio Koike, David Kuria, Cyrus Raza Mirza, Xin Li, Kun Yang
2012 IEEE Transactions on Geoscience and Remote Sensing  
The simulation results showed that CALDAS effectively assimilated atmospheric information contained in higher frequency microwave data and significantly improved correlation of cloud distribution compared  ...  CALDAS assimilated lower frequency microwave data to improve representation of land surface conditions, and merged them with higher frequency microwave data to improve the representation of atmospheric  ...  for providing the AMSR-E brightness temperature observations; and Kochi University for providing the MTSAT/1R data set.  ... 
doi:10.1109/tgrs.2012.2190517 fatcat:7q5oiflwr5hlnmlbgklsnd76d4
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