Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Courtney A. Di Vittorio"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract We present a novel data set for drought in the continental US (CONUS) built to enable computationally efficient spatio-temporal statistical and probabilistic models of drought. We converted drought data obtained from the widely-used US Droug
Externí odkaz:
https://doaj.org/article/f3aa3e8abf9049518164ea0abfc4e429
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss , Pp 100922- (2021)
Study region: The Sudd Wetland, located in South Sudan within the Nile River Basin. Study focus: This study combines limited in-situ data with satellite-based estimates of wetland inundation extents, precipitation, and potential evapotranspiration to
Externí odkaz:
https://doaj.org/article/15c65c9442434c0e9e4f8fa2e5ec0a82
Publikováno v:
JAWRA Journal of the American Water Resources Association.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f749255a452081a36f711235ef779f4
https://doi.org/10.1111/1752-1688.13127
https://doi.org/10.1111/1752-1688.13127
Autor:
Enrico Dammers, Pierre-François Coheur, Jonathan E. Hickman, Lieven Clarisse, Courtney A. Di Vittorio, Susanne E. Bauer, Niels Andela, Corinne Galy-Lacaux, Money Ossohou, Kostas Tsigaridis, Martin Van Damme
Publikováno v:
Atmospheric Chemistry and Physics. 21:16277-16291
Atmospheric ammonia (NH3) is a precursor to fine particulate matter and a source of nitrogen (N) deposition that can adversely affect ecosystem health. The main sources of NH3 – agriculture and biomass burning – are undergoing are or expected to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961f84fc9f6ea4a5cf8a38e7805538f8
https://doi.org/10.5194/acp-21-16277-2021
https://doi.org/10.5194/acp-21-16277-2021
Publikováno v:
Remote Sensing of Environment. 204:1-17
Hydrologic models of wetlands enable water resources managers to quantify the environmental and societal roles of wetlands and manage them in ways that sustain their valuable services. However, reliable wetland models require data that are not typica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c47f62fa240dd1dfb2875ed2a520b41a
https://doi.org/10.1016/j.rse.2017.11.001
https://doi.org/10.1016/j.rse.2017.11.001
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss, Pp 100922-(2021)
Study region The Sudd Wetland, located in South Sudan within the Nile River Basin. Study focus This study combines limited in-situ data with satellite-based estimates of wetland inundation extents, precipitation, and potential evapotranspiration to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be2e416e78942e8cbd3cead9ddae3bd7
https://doi.org/10.1016/j.ejrh.2021.100922
https://doi.org/10.1016/j.ejrh.2021.100922