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Dust Deposition on the Gulf of California Caused by Santa Ana Winds

CHRISTIAN ADRIAN ALVAREZ BAEZ JOSE NOEL CARBAJAL PEREZ Luis Felipe Pineda Martínez JOSE TUXPAN VARGAS David Enrique Flores Jiménez (2020)

"Numerical simulations revealed a profound interaction between the severe dust storm of 2007 caused by Santa Ana winds and the Gulf of California. The weather research and forecasting model coupled with a chemistry module (WRF-CHEM) and the hybrid single-particle Lagrangian integrated trajectory model (HYSPLIT) allowed for the estimation of the meteorological and dynamic aspects of the event and the dust deposition on the surface waters of the Gulf of California caused by the erosion and entrainment of dust particles from the surrounding desert regions. The dust emission rates from three chosen areas (Altar desert, Sonora coast, and a region between these two zones) and their contribution to dust deposition over the Gulf of California were analyzed. The Altar Desert had the highest dust emission rates and the highest contribution to dust deposition over the Gulf of California, i.e., it has the most critical influence with 96,879 tons of emission and 43,539 tons of dust deposition in the gulf. An increase of chlorophyll-a concentrations is observed coinciding with areas of high dust deposition in the northern and western coast of the gulf. This kind of event could have a significant positive influence over the mineralization and productivity processes in the Gulf of California, despite the soil loss in the eroded regions."

Article

Numerical simulation Santa Ana winds Dust storm WRF-CHEM Gulf of California Dust deposition CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO CIENCIAS DE LA ATMÓSFERA CIENCIAS DE LA ATMÓSFERA

Weather forecast sensitivity to changes in urban land covers using the WRF model for central México

ERIKA DANAE LOPEZ ESPINOZA Jorge Zavala-Hidalgo OCTAVIO GOMEZ RAMOS (2012)

The impact on temperature of the urban growth in central Mexico from 1993 to 2009 and the sensitivity of forecast to change in land cover are studied using high resolution numerical simulations. The mesoscale atmospheric Weather Research and Forecasting model (WRF) uses Global Land Cover Characteristics (GLCC) data created from NOAA-AVHRR satellite images from 1992 and 1993. However, from 1990 to 2010 the population of the country grew 29%, which represents an important increase in the extension of urban areas, particularly in the central part of the country, where the population in places like State of Mexico and Tlaxcala has grown around 34 and 33%, respectively. Due to the above, using the 2009 land use map of the Instituto Nacional de Estadística y Geografía (INEGI, by its abbreviation in Spanish), in this study an update of the 30” resolution urban coverage data used by the WRF model is performed. A sensitivity study is carried out for Mexico City and its suburbs, and for the cities of Puebla and Tlaxcala. Eight sites are analyzed where changes from vegetation cover to urban cover occur and temperature increases between 0.5 and 5.0 °C. The average of the maximum differences in temperature throughout the diurnal cycle is 2.61 °C and the mean of the differences in the whole period is 0.66 ºC. The maximum difference in temperature is registered between the 10:00 and 15:00 hours (local time). The average maximum temperature using new urban data is 26.96 °C, whereas using GLCC-1993 urban data is 25.63 ºC. The average increase in daily maximum temperature is 1.33 ºC, and for the daily minimum temperature is 0.12 ºC. The maximum temperature is reached between 13:00 and 15:00 hours, whereas the minimum temperature is reached between 4:00 and 6:00 hours. The mean daily range using new urban data is 16.0 °C whereas using GLCC-1993 data is 14.9 °C. Results show that the change from vegetal cover to urban increased the temperature in the study area

Article

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA WRF land cover urban cover weather forecast temperature forecast Mexican Republic

Weather forecast sensitivity to changes in urban land covers using the WRF model for central México

ERIKA DANAE LOPEZ ESPINOZA Jorge Zavala-Hidalgo OCTAVIO GOMEZ RAMOS (2012)

The impact on temperature of the urban growth in central Mexico from 1993 to 2009 and the sensitivity of forecast to change in land cover are studied using high resolution numerical simulations. The mesoscale atmospheric Weather Research and Forecasting model (WRF) uses Global Land Cover Characteristics (GLCC) data created from NOAA-AVHRR satellite images from 1992 and 1993. However, from 1990 to 2010 the population of the country grew 29%, which represents an important increase in the extension of urban areas, particularly in the central part of the country, where the population in places like State of Mexico and Tlaxcala has grown around 34 and 33%, respectively. Due to the above, using the 2009 land use map of the Instituto Nacional de Estadística y Geografía (INEGI, by its abbreviation in Spanish), in this study an update of the 30” resolution urban coverage data used by the WRF model is performed. A sensitivity study is carried out for Mexico City and its suburbs, and for the cities of Puebla and Tlaxcala. Eight sites are analyzed where changes from vegetation cover to urban cover occur and temperature increases between 0.5 and 5.0 °C. The average of the maximum differences in temperature throughout the diurnal cycle is 2.61 °C and the mean of the differences in the whole period is 0.66 ºC. The maximum difference in temperature is registered between the 10:00 and 15:00 hours (local time). The average maximum temperature using new urban data is 26.96 °C, whereas using GLCC-1993 urban data is 25.63 ºC. The average increase in daily maximum temperature is 1.33 ºC, and for the daily minimum temperature is 0.12 ºC. The maximum temperature is reached between 13:00 and 15:00 hours, whereas the minimum temperature is reached between 4:00 and 6:00 hours. The mean daily range using new urban data is 16.0 °C whereas using GLCC-1993 data is 14.9 °C. Results show that the change from vegetal cover to urban increased the temperature in the study area

Article

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA WRF land cover urban cover weather forecast temperature forecast Mexican Republic