Abstract
Models of crop and soil systems are useful tools for understanding the complexity of the soil-plant-atmosphere continuum. Their application, however, is
limited by the availability of weather data that drives the processes described
in such models. In this study, we describe a process-based interpolation model
being developed for estimating maximum and minimum temperatures, precipitation, and solar radiation in mountain environments. The model is
parameterized with data obtained from three weather stations set along an
altitudinal gradient of 3020 to 3590 m above sea level in the La Encanada
watershed near Cajamarca, Peru. Using an independent data set from a
fourth station within the same watershed, we show that model estimates for
daily maximum and minimum temperatures agreed well with observed data.
The accuracy of model estimates for precipitation and solar radiation is still
being evaluated.
limited by the availability of weather data that drives the processes described
in such models. In this study, we describe a process-based interpolation model
being developed for estimating maximum and minimum temperatures, precipitation, and solar radiation in mountain environments. The model is
parameterized with data obtained from three weather stations set along an
altitudinal gradient of 3020 to 3590 m above sea level in the La Encanada
watershed near Cajamarca, Peru. Using an independent data set from a
fourth station within the same watershed, we show that model estimates for
daily maximum and minimum temperatures agreed well with observed data.
The accuracy of model estimates for precipitation and solar radiation is still
being evaluated.
| Original language | English |
|---|---|
| Title of host publication | CIP Program Report 1999-2000 |
| Publisher | International Potato Center |
| Pages | 371-378 |
| Publication status | Published - 2001 |
| Externally published | Yes |