Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Waldo Lavado-casimiro"'
Publikováno v:
Tecnología y ciencias del agua, Vol 15, Iss 5, Pp 1-64 (2024)
La frecuencia y magnitud de los eventos climáticos extremos de precipitación han aumentado de forma significativa en varios países del mundo, incluido Perú. Estos hechos causan pérdidas económicas y humanas, especialmente en países en vías de
Externí odkaz:
https://doaj.org/article/c50fbfac63304e419ed006d6d657eb12
Autor:
Ricardo A. Gutierrez-Villarreal, Jhan-Carlo Espinoza, Waldo Lavado-Casimiro, Clémentine Junquas, Jorge Molina-Carpio, Thomas Condom, José A. Marengo
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100710- (2024)
The 2022-23 hydrological year in the Lake Titicaca, Desaguadero River, and Lake Poopó hydrological system (TDPS) over the South American Altiplano constituted a historically dry period. This drought was particularly severe during the pre-wet season
Externí odkaz:
https://doaj.org/article/22fe24461b4c4550b849b32da39046df
Autor:
Jhan-Carlo Espinoza, Juan Carlos Jimenez, José Antonio Marengo, Jochen Schongart, Josyane Ronchail, Waldo Lavado-Casimiro, João Vitor M. Ribeiro
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In 2023 Amazonia experienced both historical drought and warm conditions. On October 26th 2023 the water levels at the port of Manaus reached its lowest record since 1902 (12.70 m). In this region, October monthly maximum and minimum tempera
Externí odkaz:
https://doaj.org/article/8249964c80c44947ae0097e193246158
Autor:
Adrian Huerta, Cesar Aybar, Noemi Imfeld, Kris Correa, Oscar Felipe-Obando, Pedro Rau, Fabian Drenkhan, Waldo Lavado-Casimiro
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), a novel high spatial resolution (0.01°) dataset of daily air temperature for entire Peru (1981–
Externí odkaz:
https://doaj.org/article/2d21c42d617143c294854738fd43033b
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 47, Iss , Pp 101381- (2023)
Study region: A total of 11,913 sub-catchments in Peru and transboundary catchments with neighboring countries in South America. Study focus: This paper aims to develop a national hydrological model using physiographic and climatic characteristics to
Externí odkaz:
https://doaj.org/article/7e0e4eeb05394c489c1b0af6045a36eb
Autor:
Karla Paiva, Pedro Rau, Cristian Montesinos, Waldo Lavado-Casimiro, Luc Bourrel, Frédéric Frappart
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5774 (2023)
The watershed hydrologic conditions in the Madre de Dios (MDD) Basin in the Peruvian Amazon have been irreversibly impacted by deforestation and changes in land cover. These changes have also had detrimental effects on the geomorphology, water qualit
Externí odkaz:
https://doaj.org/article/08c7ab2b5ecb42d0b529c719c4639f69
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 11 (2023)
In regions with limited precipitation information, like Peru, many studies rely on precipitation data derived from satellite products (SPP) and model reanalysis. These products provide near-real-time information and offer global spatial coverage, mak
Externí odkaz:
https://doaj.org/article/d2149b8875de489d9acab94d4627e4cb
Autor:
Leonardo Gutierrez, Adrian Huerta, Evelin Sabino, Luc Bourrel, Frédéric Frappart, Waldo Lavado-Casimiro
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5432 (2023)
In soil erosion estimation models, the variables with the greatest impact are rainfall erosivity (RE), which is the measurement of precipitation energy and its potential capacity to cause erosion, and erosivity density (ED), which relates RE to preci
Externí odkaz:
https://doaj.org/article/12fbf8c0ce0742de9b1a734a74b90c9b
Publikováno v:
Water, Vol 15, Iss 22, p 3944 (2023)
Flood modeling and forecasting are crucial for managing and preparing for extreme flood events, such as those in the Tropical Andes. In this context, assimilating streamflow data is essential. Data Assimilation (DA) seeks to combine errors between fo
Externí odkaz:
https://doaj.org/article/8a61777cf39e49628a0f30449e4fe926
Autor:
Adrian Huerta, Vivien Bonnesoeur, José Cuadros-Adriazola, Leonardo Gutierrez, Boris F. Ochoa-Tocachi, Francisco Román-Dañobeytia, Waldo Lavado-Casimiro
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-18 (2022)
Measurement(s) reference evapotranspiration • air temperature • sunshine duration • dew point temperature • wind speed Technology Type(s) weather station Factor Type(s) reference evapotranspiration Sample Characteristic - Environment Climatol
Externí odkaz:
https://doaj.org/article/86be86e5b70347ed8e548d5c25e6721d