Improving estimation of missing values in daily precipitation series by a probability density function‐preserving approach
Open Access
- 21 July 2010
- journal article
- research article
- Published by Wiley in International Journal of Climatology
- Vol. 30 (10), 1564-1576
- https://doi.org/10.1002/joc.1992
Abstract
No abstract availableKeywords
Funding Information
- Centro Euro - Mediterraneo per i Cambiamenti Climatici
This publication has 44 references indexed in Scilit:
- Neural network based daily precipitation generator (NNGEN-P)Climate Dynamics, 2006
- Distance in spatial interpolation of daily rain gauge dataHydrology and Earth System Sciences, 2006
- Global observed changes in daily climate extremes of temperature and precipitationJournal of Geophysical Research: Atmospheres, 2006
- Improving single-variable and multivariable techniques for estimating missing hydrological dataJournal of Hydrology, 1997
- Application of geostatistics to evaluate partial weather station networksAgricultural and Forest Meteorology, 1997
- A Method to Estimate Missing Daily Maximum and Minimum Temperature ObservationsJournal of Applied Meteorology and Climatology, 1995
- COMPARISON OF REGRESSION AND TIME‐SERIES METHODS FOR SYNTHESIZING MISSING STREAMFLOW RECORDS1Jawra Journal of the American Water Resources Association, 1989
- Precipitation Fluctuations over Northern Hemisphere Land Areas Since the Mid-19th CenturyScience, 1987
- A COMPARATIVE ANALYSIS OF TECHNIQUES FOR SPATIAL INTERPOLATION OF PRECIPITATION1Jawra Journal of the American Water Resources Association, 1985
- Reliability of Precipitation Probabilities Estimated From the Gamma Distribution1Monthly Weather Review, 1972