Results 51 to 60 of about 1,401 (189)

Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir   +11 more
wiley   +1 more source

A Framework for Satellite-Based 3D Cloud Data: An Overview of the VIIRS Cloud Base Height Retrieval and User Engagement for Aviation Applications

open access: yesRemote Sensing, 2022
Satellites have provided decades of valuable cloud observations, but the data from conventional passive radiometers are biased toward information from at or near cloud top.
Yoo-Jeong Noh   +8 more
doaj   +1 more source

Key considerations for the use of satellite‐based remote sensing for lake and reservoir research and management

open access: yesEcosphere, Volume 17, Issue 7, July 2026.
Abstract Given the critical importance of freshwater for human well‐being and the myriad threats altering water quality and quantity, monitoring lakes and reservoirs is necessary to identify where, how, and why freshwater ecosystems are changing globally.
J. V. Trout‐Haney   +11 more
wiley   +1 more source

Integrating NASA Aqua AIRS in a Real‐Time NUCAPS Science‐To‐Applications System to Support Severe Weather Forecasting

open access: yesEarth and Space Science, 2023
In recent years, National Oceanic and Atmospheric Administration (NOAA) Unique Combined Atmospheric Processing System (NUCAPS) hyperspectral infrared satellite sounding retrievals derived from Joint Polar Satellite System (JPSS) polar‐orbiting satellites
E. B. Berndt, N. Smith, C. D. Barnet
doaj   +1 more source

National Oceanic and Atmospheric Administration Soil Moisture Operational Product System: An overview and data assimilation applications

open access: yesVadose Zone Journal, Volume 25, Issue 4, July/August 2026.
Abstract National Oceanic and Atmospheric Administration–National Environmental Satellite, Data, and Information Service (NESDIS) developed the Soil Moisture Operational Product System (SMOPS) to serve as a one‐stop shop for all available microwave satellite soil moisture observations.
Jifu Yin   +5 more
wiley   +1 more source

Evolution of the JPSS Ground Project Calibration and Validation System [PDF]

open access: yes, 2014
The Joint Polar Satellite System (JPSS) is the National Oceanic and Atmospheric Administrations (NOAA) next-generation operational Earth observation Program that acquires and distributes global environmental data from multiple polar-orbiting satellites ...
Jain, Peyush, Chander, Gyanesh
core  

Howard University Beltsville Campus Ozonesonde Record: Data Homogenization and Uncertainties

open access: yesEarth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Ensuring the quality and consistency of multidecadal electrochemical concentration cell (ECC) ozonesonde records is essential because changes in sonde instrumentation, sensing solutions, operating procedures, and data‐processing methods can introduce biases that compromise their suitability for trend analyses and model/satellite evaluation ...
Joshua A. D. Richards   +6 more
wiley   +1 more source

Volume 2, Issue 1: Fall 2022

open access: yesJournal of Postsecondary Student Success, 2022
Frontmatter for JPSS 2(1)
Shouping Hu
doaj  

Evolution of the JPSS Ground Project Calibration and Validation System [PDF]

open access: yes, 2016
The Joint Polar Satellite System (JPSS) is the National Oceanic and Atmospheric Administration's (NOAA) next-generation operational Earth observation Program that acquires and distributes global environmental data from multiple polar-orbiting satellites.
Jain, Peyush   +2 more
core  

Forecast verification using information and noise

open access: yesQuarterly Journal of the Royal Meteorological Society, Volume 152, Issue 776, April 2026 Part A.
Verification of weather forecasts is usually expressed in terms of total error metrics. This is useful for end users of the forecasts but does not allow evaluation of the intrinsic information content of the forecasts. To overcome this limitation, we propose a new total error decomposition into information and noise error measures, connect it to ...
Massimo Bonavita, Alan J. Geer
wiley   +1 more source

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