Zobrazeno 1 - 10
of 64
pro vyhledávání: '"M A, Demaria"'
Autor:
M. B. Switanek, P. A. Troch, C. L. Castro, A. Leuprecht, H.-I. Chang, R. Mukherjee, E. M. C. Demaria
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 2649-2666 (2017)
Commonly used bias correction methods such as quantile mapping (QM) assume the function of error correction values between modeled and observed distributions are stationary or time invariant. This article finds that this function of the error corr
Externí odkaz:
https://doaj.org/article/3aa874afc4e342a6abc63e500316e100
Autor:
Menberu B. Meles, Eleonora M. C. Demaria, Philip Heilman, David C. Goodrich, Mark A. Kautz, Gerardo Armendariz, Carl Unkrich, Haiyan Wei, Anandraj Thiyagaraja Perumal
Publikováno v:
Water; Volume 14; Issue 14; Pages: 2198
The curation of hydrologic data includes quality control, documentation, database development, and provisions for public access. This article describes the development of new quality control procedures for experimental watersheds like the Walnut Gulc
Autor:
Hoshin V. Gupta, Eleonora M. C. Demaria, Tirthankar Roy, Juan B. Valdés, Rodrigo Valdés-Pineda, Matej Durcik, Aleix Serrat-Capdevila
Publikováno v:
Journal of Applied Water Engineering and Research. 8:277-289
We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program,...
Publikováno v:
Revista de Salud Pública, Vol 19, Iss 3 (2015)
Objetivo: Determinar el estado de vacunación de los profesionales y técnicos del equipo de salud de hospitales estatales de la provincia de Córdoba respecto de las vacunas contra la hepatitis B, la triple o doble viral, la doble bacteriana y antii
Externí odkaz:
https://doaj.org/article/29d89a2058cc41c8943a2189dfa8ae32
Autor:
Menberu B. Meles, Eleonora M. C. Demaria, Russell L. Scott, Pieter Hazenberg, Mary H. Nichols, David C. Goodrich
Publikováno v:
Geophysical Research Letters. 46:6839-6847
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 36:317-332
The detection and attribution of changes in precipitation characteristics relies on dense networks of rain gauges. In the United States, the COOP network is widely used for such studies even though there are reported inconsistencies due to changes in
Autor:
G. E. Acebedo, M. A. Farias, J. M. Sanchez, C. Astegiano, G. Buffa, G. Alvarez Loyaute, M. J. Demaria, A. R. Fernandez
Publikováno v:
Revista de Salud Pública, Vol 17, Iss 3 (2014)
Esta investigación se propuso caracterizar las condiciones de empleo, identificar riesgos laborales percibidos el trabajador y estimar la frecuencia de problemas de salud referidos por los integrantes de los equipos de salud de hospitales de la ciud
Externí odkaz:
https://doaj.org/article/8dac9b3a69c9485c8ddcb038f347650d
Autor:
Rodrigo Valdés-Pineda, Juan B. Valdés, Sungwook Wi, Matej Durcik, Eleonora M. C. Demaria, Roy Tirthankar, Aleix Serrat-Capdevila
The operational implementation of a Hydrologic Forecasting System (HFS) is limited in many catchments of the world by the lack of historical in-situ hydrologic data, i.e., long temporal records of rainfall or streamflow. By combining high-resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05eeb7b1a7c0bd02a6b97a53ac817a30
https://doi.org/10.5194/egusphere-egu21-14087
https://doi.org/10.5194/egusphere-egu21-14087
Publikováno v:
Global Change Biology. 25:420-430
Changes in growing season climate are often the foci of research exploring forest response to climate change. By contrast, little is known about tree growth response to projected declines in winter snowpack and increases in soil freezing in seasonall
Autor:
Matej Durcik, Hoshin V. Gupta, Tirthankar Roy, Rodrigo Valdés-Pineda, Eleonora M. C. Demaria, Juan B. Valdés, Aleix Serrat-Capdevila, Bradfield Lyon
Publikováno v:
Journal of Hydrology. 566:818-829
We assess the impacts of a range of short-term climate change scenarios (2020–2050) on the hydrology of the Mara River Basin in East Africa using a new high-resolution (0.25°) daily climate dataset. The scenarios combine natural climate variabilit