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Alisa H. Young

Researcher at National Oceanic and Atmospheric Administration

Publications -  5
Citations -  320

Alisa H. Young is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: NetCDF & Secular variation. The author has an hindex of 3, co-authored 4 publications receiving 211 citations.

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A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring

TL;DR: The satellite-based visible snow cover extent (CDR) dataset as mentioned in this paper was developed from weekly Northern Hemisphere SNC data that have been digitized from snow cover maps onto a Cartesian grid draped over a polar stereographic projection.
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The International Satellite Cloud Climatology Project H-Series climate data record product

TL;DR: The International Satellite Cloud Climatology Project (ISCCP) H-series climate data record (CDR) as mentioned in this paper is a suite of level 2 and 3 products for monitoring the distribution and variation of cloud and surface properties to better understand the effects of clouds on climate, the radiation budget, and the global hydrologic cycle.
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ENSO Normals: A New U.S. Climate Normals Product Conditioned by ENSO Phase and Intensity and Accounting for Secular Trends

TL;DR: In this article, the authors propose an approach that assumes a stationary climate, with several alternativations of the climate normals over a period of time, often 30 years.
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Adjusting ISCCP Cloud Detection to Increase Consistency of Cloud Amount and Reduce Artifacts

TL;DR: In this paper, the International Satellite Cloud Climatology Project (ISCCP) is proposed to make the cloud-no-cloud threshold VZA dependent and the resulting cloud amounts are more consistent between different satellites and the distributions are more spatially homogenous.
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New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets

TL;DR: In this paper , the authors presented results for the newly (v2) reprocessed SNPP OMPS NM and NP SDR data prior to 30 June 2021, which uses consistent calibration tables with improved accuracy.