RELAMPAGO-CACTI: High Impact Weather in Subtropical South America
Description:
The special collection includes articles related to the major field experiments and associated research from two sister campaigns that studied the intense convective storms in Subtropical South America in 2018–2019: the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) campaign, and the Clouds, Aerosols, and Complex Terrain Interactions (CACTI) campaign. These sister campaigns involved 200 scientists from 4 continents, and involved fixed ground, aircraft, and mobile observational assets, targeted satellite observations, and modeling components. These campaigns produced an unparalleled dataset involving many aspects of the intense convective storms, extreme hydrometeorological impacts, regional climate, and societal impacts of high-impact weather in this region. Aspects of studies including observing processes related to convection initiation, aerosol–cloud interactions over complex terrain, the production of giant hail in severe thunderstorms, and the rapid upscale growth and flooding from mesoscale convective systems, and the operational prediction and climate impacts of these storms. Project overview papers have been published in BAMS. The overview for RELAMPAGO is 10.1175/BAMS-D-20-0029.1, while the overview for CACTI is 10.1175/BAMS-D-20-0030.1.
Collection organizers:
Stephen Nesbitt, Department of Atmospheric Sciences, University of Illinois Urbana-Champaign
Adam Varble, Pacific Northwest National Laboratory
Paola Salio, University of Buenos Aires
RELAMPAGO-CACTI: High Impact Weather in Subtropical South America
Abstract
Some of the most intense convective storms on Earth initiate near the Sierras de Córdoba mountain range in Argentina. The goal of the RELAMPAGO field campaign was to observe these intense convective storms and their associated impacts. The intense observation period (IOP) occurred during November–December 2018. The two goals of the hydrometeorological component of RELAMPAGO IOP were 1) to perform hydrological streamflow and meteorological observations in previously ungauged basins and 2) to build a hydrometeorological modeling system for hindcast and forecast applications. During the IOP, our team was able to construct the stage–discharge curves in three basins, as hydrological instrumentation and personnel were successfully deployed based on RELAMPAGO weather forecasts. We found that the flood response time in these river locations is typically between 5 and 6 h from the peak of the rain event. The satellite-observed rainfall product IMERG-Final showed a better representation of rain gauge–estimated precipitation, while IMERG-Early and IMERG-Late had significant positive bias. The modeling component focuses on the 48-h simulation of an extreme hydrometeorological event that occurred on 27 November 2018. Using the Weather Research and Forecasting (WRF) atmospheric model and its hydrologic component WRF-Hydro as an uncoupled hydrologic model, we developed a system for hindcast, deterministic forecast, and a 60-member ensemble forecast initialized with regional-scale atmospheric data assimilation. Critically, our results highlight that streamflow simulations using the ensemble forecasting with data assimilation provide realistic flash flood forecast in terms of timing and magnitude of the peak. Our findings from this work are being used by the water managers in the region.
Abstract
Some of the most intense convective storms on Earth initiate near the Sierras de Córdoba mountain range in Argentina. The goal of the RELAMPAGO field campaign was to observe these intense convective storms and their associated impacts. The intense observation period (IOP) occurred during November–December 2018. The two goals of the hydrometeorological component of RELAMPAGO IOP were 1) to perform hydrological streamflow and meteorological observations in previously ungauged basins and 2) to build a hydrometeorological modeling system for hindcast and forecast applications. During the IOP, our team was able to construct the stage–discharge curves in three basins, as hydrological instrumentation and personnel were successfully deployed based on RELAMPAGO weather forecasts. We found that the flood response time in these river locations is typically between 5 and 6 h from the peak of the rain event. The satellite-observed rainfall product IMERG-Final showed a better representation of rain gauge–estimated precipitation, while IMERG-Early and IMERG-Late had significant positive bias. The modeling component focuses on the 48-h simulation of an extreme hydrometeorological event that occurred on 27 November 2018. Using the Weather Research and Forecasting (WRF) atmospheric model and its hydrologic component WRF-Hydro as an uncoupled hydrologic model, we developed a system for hindcast, deterministic forecast, and a 60-member ensemble forecast initialized with regional-scale atmospheric data assimilation. Critically, our results highlight that streamflow simulations using the ensemble forecasting with data assimilation provide realistic flash flood forecast in terms of timing and magnitude of the peak. Our findings from this work are being used by the water managers in the region.