Results 91 to 100 of about 3,954 (227)
The Suomi National Polar-Orbiting Partnership (SNPP): Continuing NASA Research and Applications [PDF]
The Suomi National Polar-orbiting Partnership (SNPP) satellite was successfully launched into a polar orbit on October 28, 2011 carrying 5 remote sensing instruments designed to provide data to improve weather forecasts and to increase understanding of ...
Butler, James +3 more
core
A Novel Ice Cloud Optical Property Model for Passive and Active Remote Sensing Applications
Abstract A new broad‐spectrum ice cloud optical property model, namely the Passive‐Active Remote Sensing Consistent (PARSC) model, is developed to achieve consistency between passive and active sensor‐based ocean‐occurring ice cloud property retrievals.
J. Coy +4 more
wiley +1 more source
Abstract The growing size of genome‐wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep learning and conventional methods, including dimensionality reduction techniques such as principal ...
Tanzila Raihan +4 more
wiley +1 more source
First SNPP Cal/Val Campaign: Satellite and Aircraft Sounding Retrieval Intercomparison [PDF]
Satellite ultraspectral infrared sensors provide key data records essential for weather forecasting and climate change science. The Suomi National Polar-orbiting Partnership (SNPP) satellite Environmental Data Record (EDR) is retrieved from calibrated ...
Liu, Q. +8 more
core
Abstract The National Air Quality Forecast Capability (NAQFC) provides numerical forecasting guidance of air quality up to 72 hr ahead over the United States. In this study, we evaluate the changes in its prediction skills by updating the Community Multiscale Air Quality (CMAQ) modeling system from version 5.3.1 to 5.4 and utilizing a high‐resolution 1‐
Kiarash Farzad +13 more
wiley +1 more source
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye +2 more
wiley +1 more source
Parametric analysis of space nuclear power plants in thermodynamic design variables
The purpose of the study is to analyze the influence of efficiency factor and medium-entropy temperatures on the specific mass of a space power plant and the specific area of the radiator cooler with regard for heat losses and mass coefficients of ...
A.G. Yuferov, V.A. Linnik, M.A. Nikolaev
doaj +1 more source
Abstract Accurate characterization of aerosol optical depth (AOD) uncertainties is critical for air quality assessment, data assimilation (DA), and environmental studies. In this study, we evaluate two sets of AOD products retrieved from Suomi‐NPP VIIRS over Africa.
Shima Bahramvash‐Shams +4 more
wiley +1 more source
The contribution of heme oxygenase (HO)-linked pathways to neurodegeneration following cerebral hypoxiaischemia (HI) remains unclear. We investigated whether HO modulators affected HI-induced brain damage and explored potential mechanisms involved ...
Dixon, CL (15641435) +8 more
core +2 more sources
The accurate estimation of cropland net primary productivity (NPP) remains a significant challenge. We hypothesized that incorporating prior information on NPP simulated by process-based models into normalized difference vegetation index (NDVI) data ...
Zhaosheng Wang, Zhengjia Liu, Mei Huang
doaj +1 more source

