Estimation of radar-rainfall error spatial correlation

By P. Mandapaka, Witold F. Krajewski, G. Ciach, Gabriele Villarini, James A. Smith. 2009

70 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/562ec69bfda64afc9f3470a2dbefba6fc572e97b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Remko Uijlenhoet
2. G. Mao
3. Harald Kunstmann
4. Patrick Laux
5. A. Seed
6. P. Tabary
7. Stefanie Vogl
8. I. Zawadzki

In Global and Planetary Change

1. Remko Uijlenhoet
2. G. Mao
3. W. Qiu
4. Harald Kunstmann
5. Patrick Laux
6. Jim Freer
7. A. Seed
8. P. Tabary

Citations in the corpus

• On the representation error in data assimilation (2018, unknown): “The term representativeness error was used as well in Kitchen and Blackall (1992), Ciach and Krajewski (1999) and Mandapaka et al. (2009).”
• Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields (2012, background): “There have been many attempts to quantify the uncertainty of the radar measurement (e.g. Mandapaka et al., 2009; AghaKouchak et al., 2010c).”
• Weather radar and hydrology (2009, background): “[52] present a theoretical framework for estimating the spatial correlation of the radar rainfall error.”