Summary: Precipitation retrieval for AMSU/MHS observations by a neural network algorithm.
Rights: By downloading the PNPR rainfall rate estimates or the PNPR dataset, you are agreeing to the following terms of use, which have been established considering the rules of the various funding bodies and collaborating parties, under our past and present contracts and agreements: - The PNPR rainfall rate estimation system and the PNPR dataset (henceforth referred to as PNPR) are owned by the CNR-ISAC. - Use of PNPR for any purpose is at the User's own risk. Users accept that the CNR-ISAC is not liable for the consequences of using PNPR data, for any mistakes in the data or for any discrepancies with other observed datasets. - PNPR can be freely used for research purposes, as long as Sanò et al. (2014) is cited and CNR-ISAC is acknowledged in any resulting publications or presentations. We would appreciate receiving a copy of your publication, which can be be forwarded to the following address: Dr. Giulia Panegrossi, CNR-ISAC, Via del Fosso del Cavaliere 100, 00133 Rome, Italy, or, you may email the publication reference to: g.panegrossi@isac.cnr.it - Any operational or commercial use of PNPR must be explicitly agreed by the CNR-ISAC. - Any operational or commercial re-distribution of PNPR, including images derived from PNPR data or descriptions based on PNPR data must be explicitly agreed with the CNR-ISAC. The following are representative examples of such usage: the inclusion of PNPR based images in famine early warning bulletins; the use of PNPR data in risk management/assessment tools; the use of PNPR data for operating weather index insurance. Reference: P. Sanò, D. Casella, G. Panegrossi, F. Di Paola, L. Milani, A. Mugnai, M. Petracca, S. Dietrich: The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies. Atmos. Meas. Tech. Discuss., 7, 9351-9411, 2014 doi:10.5194/amtd-7-9351-2014
