Results 1 to 10 of about 365 (171)

The CYGNSS Mission: On-Going Science Team Investigations

open access: yesRemote Sensing, 2021
In 2012, the National Aeronautics and Space Administration (NASA) selected the CYclone Global Navigation Satellite System (CYGNSS) mission coordinated by the University of Michigan (UM) as a low-cost and high-science Earth Venture Mission.
April Warnock   +2 more
exaly   +6 more sources

Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture

open access: yesRemote Sensing
Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil ...
Clara Chew, Liza Wernicke, Eric Small
exaly   +4 more sources

Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data [PDF]

open access: yesFrontiers in Big Data, 2022
Daily spatial complete soil moisture (SM) mapping is important for climatic, hydrological, and agricultural applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first constellation that utilizes the L band signal transmitted by ...
Ting Yang   +7 more
doaj   +2 more sources

Investigation of the Occurrence of Nighttime Topside Ionospheric Irregularities in Low-Latitude and Equatorial Regions Using CYGNSS Satellites [PDF]

open access: yesSensors, 2020
By using multi-satellite observations of the L1 signal-to-noise ratio (SNR) from the Cyclone Global Navigation Satellite System (CYGNSS) taken in 2017, we present the occurrence of nighttime topside ionospheric irregularities in low-latitude and ...
Liang Huang   +5 more
doaj   +2 more sources

Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity

open access: yesRemote Sensing, 2022
NASA’s Soil Moisture Active Passive (SMAP) mission only retrieved ~2.5 months of 3 km near surface soil moisture (NSSM) before its radar transmitter malfunctioned. NSSM remains an important area of study, and multiple applications would benefit from 3 km
Liza Wernicke   +2 more
exaly   +3 more sources

Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture

open access: yesGeophysical Research Letters, 2018
Using the first full annual cycle of Cyclone Global Navigation Satellite System (CyGNSS) observations, we investigated the limitations and capabilities of CyGNSS observations for soil moisture (SM) estimates (0–5 cm).
Venkataraman Lakshmi, Hyunglok Kim
exaly   +2 more sources

Use of an End-to-End-Simulator to Analyze CYGNSS. [PDF]

open access: yesJ Atmos Ocean Technol, 2018
AbstractTropical convection during the onset of two Madden–Julian oscillation (MJO) events, in October and December of 2011, was simulated using the Weather Research and Forecasting (WRF) Model. Observations from the Dynamics of the MJO (DYNAMO) field campaign were assimilated into the WRF Model for an improved simulation of the mesoscale features of ...
Hoover KE   +5 more
europepmc   +4 more sources

A Study on Assimilation of CYGNSS Wind Speed Data for Tropical Convection during 2018 January MJO

open access: yesRemote Sensing, 2020
The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CYGNSS) mission was launched in December 2016.
Xuanli Li   +2 more
exaly   +3 more sources

Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
High spatiotemporal soil moisture (SM) is essential for many meteorological, hydrological, and agricultural applications and studies. Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) provides a promising opportunity for high ...
Volkan Senyurek   +2 more
doaj   +2 more sources

Desert Roughness Retrieval Using CYGNSS GNSS-R Data

open access: yesRemote Sensing, 2020
The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness.
Mehrez Zribi   +2 more
exaly   +3 more sources

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