{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"5fc4791b-f958-46a7-bb92-3c10cae5304f","name":"downscaled-climate-model-output-western-united-states-ipcc-ar4-scenarios-multivariate","title":"Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios [Multivariate Adaptive Constructed Analog (MACA) Method]","author":"John Abatzoglou","author_email":"jabatzoglou@uidaho.edu","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/","notes":"\u003Cp\u003EIntended for users who require daily meteorological data to drive models or assess climate adaptation.\u003C\/p\u003E\n\u003Cp\u003EThis data series contains 540 temporal datasets. Wildfire adheres to meteorological enablers and drivers across a spectrum of timescales. However, a majority of downscaling methods are ill suited for wildfire application due the lack of daily timescales and variables such as humidity and winds that are important for fuel flammability and fire spread. Two statistical downscaling methods, the daily Bias-Corrected Spatial Downscaling (BCSD) and the Multivariate Adapted Constructed Analogs (MACA), that directly incorporate daily data were validated over the Western United States with reanalysis data. While both methods outperformed the null interpolation only method, MACA exhibited additional skill in temperature, humidity, wind and precipitation due to its ability to jointly downscale temperature and dew point temperature and its use of analog patterns rather than interpolation. Both downscaling methods exhibited value added information in tracking fire danger indices and periods of extreme fire danger; however, due to its ability to more accurately capture relative humidity and winds, MACA outperformed the daily BCSD.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAccess constraints:\u003C\/strong\u003E Users of this dataset should cite Abatzoglou, J.T, and T.J. Brown, Meteorological Statistical Downscaling - An Assessment of Methods Suited for Wildfire Applications, International Journal of Climatology. Data will be provided to all who agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. By downloading these data and using them to produce further analysis and\/or products, users agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. \u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EUse constraints:\u003C\/strong\u003E Acceptable uses of data provided by Idaho EPSCoR include any academic, research, educational, governmental, recreational, or other not-for-profit activities. Any use of data provided by the Idaho EPSCoR must acknowledge Idaho EPSCoR and the funding source(s) that contributed to the collection of the data. Users are expected to inform the Idaho EPSCoR Office and the PI(s) responsible for the data of any work or publications based on data provided.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ELiability:\u003C\/strong\u003E Although these data have been processed successfully on a computer system at the Idaho Geospatial Data Clearinghouse, no warranty, expressed or implied, is made regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty.\u003C\/p\u003E\n","url":"https:\/\/dkan.nkn.uidaho.edu\/dataset\/downscaled-climate-model-output-western-united-states-ipcc-ar4-scenarios-multivariate","state":"Active","log_message":"Edited by DKAN admin.","private":true,"revision_timestamp":"Mon, 03\/18\/2019 - 13:13","metadata_created":"Tue, 06\/09\/2015 - 00:00","metadata_modified":"Mon, 03\/18\/2019 - 13:13","creator_user_id":"7ea0cc7a-144d-40bc-a738-f00f4ab9e847","type":"Dataset","resources":[{"id":"291caf13-2ed6-4dd7-a792-10fdec1e29ff","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/CD537FC2-00AB-4B1D-B97E-82AB217E2FCA\/metadata.xml","description":"","format":"xml","state":"Active","revision_timestamp":"Mon, 09\/24\/2018 - 12:34","name":"Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios (metadata.xml)","mimetype":"xml","size":"","created":"Tue, 06\/09\/2015 - 00:00","resource_group_id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","last_modified":"Date changed  Mon, 09\/24\/2018 - 12:34"},{"id":"90cb7837-76e0-42be-98a4-5b7b94547e5a","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/CD537FC2-00AB-4B1D-B97E-82AB217E2FCA\/","description":"","format":"html","state":"Active","revision_timestamp":"Mon, 09\/24\/2018 - 12:35","name":"Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios (file explorer)","mimetype":"html","size":"","created":"Tue, 06\/09\/2015 - 00:00","resource_group_id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","last_modified":"Date changed  Mon, 09\/24\/2018 - 12:35"},{"id":"c2323f11-2782-4f77-a8d3-27efcd9b9d1a","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/download.php?uuid=CD537FC2-00AB-4B1D-B97E-82AB217E2FCA","description":"","format":"zip","state":"Active","revision_timestamp":"Mon, 09\/24\/2018 - 12:36","name":"Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios (download)","mimetype":"zip","size":"","created":"Tue, 06\/09\/2015 - 00:00","resource_group_id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","last_modified":"Date changed  Mon, 09\/24\/2018 - 12:36"}],"tags":[{"id":"98ebc343-65da-496c-951b-8dde05e42361","vocabulary_id":"2","name":"climate"},{"id":"d21945a5-f4b6-47c7-8a69-7efde24a0438","vocabulary_id":"2","name":"meteorology"}],"groups":[{"description":"\u003Cp\u003EThe primary objective of Idaho EPSCoR is to stimulate research in niche areas that can become fully competitive in the disciplinary and multidisciplinary research programs of the National Science Foundation and other relevant agencies. Idaho EPSCoR provides support for sustainable increases in Research and Development capacity and advances science and engineering capabilities within the state. \u003C\/p\u003E\n\u003Cp\u003EVisit them at \u003Ca href=\u0022https:\/\/www.idahoepscor.org\u0022\u003Ehttps:\/\/www.idahoepscor.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","image_display_url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/Idaho_epscor_logo_no_white_background.png","title":"Idaho EPSCoR","name":"group\/idaho-epscor"}]}]}<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"
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