My publications

Academic publications here.

Written by Pao Corrales

Hourly Assimilation of Different Sources of Observations Including Satellite Radiances in a Mesoscale Convective System Case During RELAMPAGO campaign

Abstract In this paper, we evaluate the impact of assimilating high-resolution surface networks and satellite observations using the WRF-GSI-LETKF over central and north eastern Argentina where the surface and upper air observing networks are relatively coarse. We conducted a case study corresponding to a huge mesoscale convective system (MCS) that developed during November 22, 2018. The accumulated precipitation associated with this MCS was quite high, exceeding 200 mm over northern Argentina and Paraguay.

By Paola Corrales, Victoria Galligani, Juan Ruiz, Luiz Sapucci, María Eugenia, Dillon, Yanina García Skabar, Maximiliano Sacco, Craig Schwartz, Stephen Nesbitt in Academic meteorology English

May 22, 2022

A rapid refresh ensemble based data assimilation and forecast system for the RELAMPAGO field campaign

Highlights A LETKF-WRF system was run successfully in real-time to support RELAMPAGO operations. A reduction in forecast error was shown due to data assimilation cycles. 60-member RRR analyses and forecasts are available for the research community. Abstract This paper describes the lessons learned from the implementation of a regional ensemble data assimilation and forecast system during the intensive observing period of the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign (central Argentina, November–December 2018).

By María Eugenia Dillon, Paula Maldonado, Paola Corrales, Yanina García Skabar, Juan Ruiz, Maximiliano Sacco, Federico Cutraro, Leonardo Mingari, Cynthia Matsudo, Luciano Vidal, Martin Rugna, María Paula Hobouchian, Paola Salio, Stephen Nesbitt, Celeste Saulo, Eugenia Kalnay and Takemasa Miyoshi in Academic English meteorology

December 15, 2021

A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models

Abstract: Microwave cloud polarized observations have shown the potential to improve precipitation retrievals since they are linked to the orientation and shape of ice habits. Stratiform clouds show larger brightness temperature (TB) polarization differences (PDs), defined as the vertically polarized TB (TBV) minus the horizontally polarized TB (TBH), with ~10 K PD values at 89 GHz due to the presence of horizontally aligned snowflakes, while convective regions show smaller PD signals, as graupel and/or hail in the updraft tend to become randomly oriented.