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Description

The Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 2 data set is a multi-sensor Level 3 Earth Science Data Record (ESDR) with improvements upon Version 1 in cross-sensor calibration and quality checking, modern file formats, better quality control, improved projection grids, and local time-of-day (LTOD) processing. These data are gridded to three EASE-Grid 2.0 projections (North Azimuthal, South Azimuthal, and Cylindrical) and include enhanced-resolution imagery, as well as coarse-resolution, averaged imagery. Inputs include brightness temperature data from the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), Special Sensor Microwave Imager/Sounder (SSMIS), Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E), and Advanced Microwave Scanning Radiometer 2 (AMSR2).

Version Description

Changes to this version include: - Change in the input data streams for SSM/I, SSMIS, AMSR-E - Addition of AMSR2 data

Product Summary

Platforms
Aqua ,
DMSP 5D-2/F10 ,
DMSP 5D-2/F11 ,
DMSP 5D-2/F13 ,
DMSP 5D-2/F14 ,
DMSP 5D-2/F8 ,
DMSP 5D-3/F15 ,
DMSP 5D-3/F16 ,
DMSP 5D-3/F17 ,
DMSP 5D-3/F18 ,
DMSP 5D-3/F19 ,
GCOM-W1 ,
Nimbus-7
Instruments
AMSR-E ,
SSM/I ,
SSMIS ,
AMSR2 ,
SMMR
Projects
PM-LT
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Reference System(s)
Multiple EPSG codes (see User Guide)
Location
GLOBAL ,
NORTHERN HEMISPHERE ,
SOUTHERN HEMISPHERE
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1978-10-25 to Present
Temporal Resolution
24 Hour
Concept ID
C3177839163-NSIDC_CPRD
Data State
ACTIVE
Number of Files/Granules
4970013
Processing Level
3
Published
Science Keywords
Brightness Temperature

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

INSTRUMENT/SENSOR CALIBRATION DOCUMENTATION

GENERAL DOCUMENTATION

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Surface melt detection over the Greenland Ice Sheet using a decision-tree approach based on multiple brightness temperature indices
  • Wang, Wenhui, Deng, Jie, Che, Tao, Zhu, A-Xing, Li, Xuemei, Dai, Liyun, Jiang, Ye, Feng, Dongdong, Jin, Rui
Estimating Antarctic surface melt rates using passive microwave data calibrated with weather station observations
  • Di Biase, Valeria, Kuipers Munneke, Peter, Wouters, Bert, van den Broeke, Michiel R., van Tiggelen, Maurice
Record early sea ice loss in southeastern Hudson Bay in Spring 2024
  • Soriot, C., Stroeve, J., Crawford, A.
Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 19412023
  • Huo, Puzhen, Lu, Peng, Cheng, Bin, Yu, Miao, Wang, Qingkai, Li, Xuewei, Li, Zhijun
Towards a gapless 1 km fractional snow cover via a data fusion framework
  • Xiao, Xiongxin, He, Tao, Liang, Shuang, Liang, Shunlin, Liu, Xinyan, Ma, Yichuan, Wan, Jun
Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges
  • Husman, Sophie de Roda, Hu, Zhongyang, Wouters, Bert, Munneke, Peter Kuipers, Veldhuijsen, Sanne, Lhermitte, Stef
Validation of the effective resolution of SMAP enhanced resolution backscatter products
  • Long, David G., Miller, Julie Z.
Variation in ice phenology of large lakes over the northern hemisphere based on passive microwave remote sensing data
  • Su, Lei, Che, Tao, Dai, Liyun
Progress, Challenges, and Opportunities in Remote Sensing of Drought
  • Rad, Arash Modarresi, AghaKouchak, Amir, Navari, Mahdi, Sadegh, Mojtaba
Subpixel Melt Index in the Antarctic Peninsula Using Spatially Constrained Linear Unmixing From Time Series Satellite Passive Microwave Images
  • Tian, Dan, Wang, Lei
Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar ...
  • Zeng, Ziyue, Gan, Yanjun, Kettner, Albert J., Yang, Qing, Zeng, Chao, Brakenridge, G. Robert, Hong, Yang
Presenting snow grain size and shape distributions in Northern Canada using a new photographic device allowing 2D and 3D representation of snow grains
  • Langlois, Alexandre, Royer, Alain, Montpetit, Benoit, Roy, Alexandre, Durocher, Martin
The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation
  • Burgard, Clara, Notz, Dirk, Pedersen, Leif T., Tonboe, Rasmus T.
Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China
  • Chen, Tao, Pan, Jinmei, Chang, Shunli, Xiong, Chuan, Shi, Jiancheng, Liu, Mingyu, Che, Tao, Wang, Lifu, Liu, Hongrui
Using machine learning for real-time estimates of snow water equivalent in the watersheds of Afghanistan
  • Bair, Edward H., Abreu Calfa, Andre, Rittger, Karl, Dozier, Jeff
| SWEpy: A Python Library for Quick and Easy Access and Manipulation of MEaSUREs CETB Files for SWE Analysis
  • Norris, William, Farmer, Carson
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