Simulation of the annual thermal and hydrological cycle in Mexico

A nonlinear monthly water balance model for twelve hydrologic zones of Mexico is presented. The balance thermal energyequation applied to a thin soil surface layer and the water balance equation with maximum soil moisture deficit of 112.5 mm arecoupled through the soil temperature and the soil moist...

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Detalles Bibliográficos
Autores: E. E. Villanueva Urrutia, Julián Adem, V. Manuel Mendoza
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2002
País:México
Institución:Universidad Nacional Autónoma de México
Repositorio:Redalyc-UNAM
OAI Identifier:oai:redalyc.org:56841208
Acceso en línea:https://www.redalyc.org/articulo.oa?id=56841208
Access Level:acceso abierto
Palabra clave:Ciencias de la Tierra
heat and water flux
soil surface temperature
soil moisture availability
Thermal and hydrological cycle
Descripción
Sumario:A nonlinear monthly water balance model for twelve hydrologic zones of Mexico is presented. The balance thermal energyequation applied to a thin soil surface layer and the water balance equation with maximum soil moisture deficit of 112.5 mm arecoupled through the soil temperature and the soil moisture deficit. The model has five parameters. Input data are surface airrelative humidity, cloudiness, surface air temperature, surface wind speed, precipitation, surface albedo, and the short wave radiationat the surface with clear sky. The model gives an estimate of the monthly surface and subsurface runoff, the soil moisture, thenet radiation, the sensible and latent heat, the soil temperature and the annual dryness index. The computed total annual runoff(surface plus subsurface) agrees with the map of observed values. The computed monthly total runoff values show monthlyvariations similar to those observed in rivers of each hydrological zone. The maps of soil surface temperature and moistureavailability computed for January and July show some similarities with the maps from the National Center for EnvironmentalPrediction large-scale reanalysis.