Downscaling techniques aim at resolving the scale discrepancy between climate change scenarios and the resolution demanded for impact assessments. Requirements for downscaled climate, to be useful for end users, include reliable representation of precipitation intensities, temporal and spatial va...
Quiróz, R.
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Posadas, A.
,
Yarleque, C.
,
Heidinger, Haline
,
Raymundo, R.
,
Carbajal, M.
,
Cruz, Mariana
,
Guerrero, J.
,
Mares, V.
,
Silvestre, Elisabeth
,
Jones, C.
,
Carvalho, Leila M. V.
,
Dinku ,T.
,
[Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions]
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Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions
Quantifying rainfall from remotely sensed data is crucial for regions where meteorological stations are scarce. This might be one of the only options for analysing rainfall patterns at different temporal and spatial scales in data-scarce environments, particularly in developing countries. The Tro...
Heidinger, Haline
,
Yarleque, C.
,
Posadas, A.
,
Quiróz, R.
,
[TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis]
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TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis
Quantifying rainfall at spatial and temporal scales in regions where meteorological stations are scarce is important for agriculture, natural resource management and land-atmosphere interactions science. We describe a new approach to reconstruct daily rainfall from rain gauge data and the normali...
Quiróz, R.
,
Yarleque, C.
,
Posadas, A.
,
Mares, V.
,
Immerzeel, W.W.
,
[Improving daily rainfall estimation from NDVI using wavelet transform]
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Improving daily rainfall estimation from NDVI using wavelet transform