A probability of precipitation (POP), (also expressed as: "chance of precipitation," "chance of rain") is a description of the likelihood ofâ€¦Â (More)

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2015

2015

Quantifying the sensitivity of warm rain to aerosols is important for constraining climate model estimates of aerosol indirectâ€¦Â (More)

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2013

2013

- Hua W. Xie, Kang Wang
- 2013 Third International Conference onâ€¦
- 2013

Flooding in irrigation district is often caused by the encounter of flood from the upstream and the precipitation jackingâ€¦Â (More)

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2012

2012

- Chihiro Terai, R. Wood, Dania LeÃ³n
- 2012

The relationship between precipitation rate and accumulation mode aerosol concentration in marine stratocumulus-topped boundaryâ€¦Â (More)

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2010

2010

- Maurice J. Schmeits, Kees J. Kok
- 2010

Using a 20-year ECMWF ensemble reforecast data set of total precipitation and a 20-year data set of a dense precipitationâ€¦Â (More)

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2010

2010

- Reza Hosseini, Nhu D. Le, Jim Zidek
- Environmental and Ecological Statistics
- 2010

This paper uses rth-order categorical Markov chains to model the probability of precipitation. Several stationary and nonâ€¦Â (More)

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2008

2008

The Weather Channel (TWC) is a leading provider of weather information to the general public. In this paper the reliability ofâ€¦Â (More)

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2008

2008

Linear pooling is by the far the most popular method for combining probability forecasts. However, any nontrivial weightedâ€¦Â (More)

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2008

2008

- Boksoon Myoung, Yi Deng
- 2008

This study examines the observed interannual variability of the cyclonic activity along the U.S. Pacific coast and quantifies itsâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability densityâ€¦Â (More)

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1997

1997

A neural network, using input from the Eta Model and upper air soundings, has been developed for the probability of precipitationâ€¦Â (More)

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