During September–November 2020, the meteorological services of Brazil, Argentina, Peru, Paraguay, and Bolivia reported record‐high maximum temperatures in several warm spells during this season. Positive and significant trends in heat wave frequency, intensity, and duration have been recorded since the 1980s, particularly in large cities. In this study, a heat wave is defined as a period in which both daily maximum and minimum air temperatures exceed the corresponding climatological 90th percentile for three or more consecutive days during September–November 2020. In this period, an intense heat wave during the first half of October and two heat waves events in November resulted in record‐breaking daily maximum temperatures in several locations in central South America. Places experienced temperature of about 10°C above normal, and some locations reported maximum temperatures above 40°C for several days in a row. Because its intensity and geographical extension, affecting central South America from southern Peruvian Amazon to southeastern Brazil, the heat wave of September 23–October 15 was selected as a case study. This intense heat wave was due a persistent atmospheric blocking located starting in late September and lasting until middle October 2020, a continuous presence of a warm air mass for several consecutive days contributed to pronounced positive temperature anomalies, possibly reinforced by extremely low soil moisture. This makes it easier for these high‐pressure systems to generate extreme heat waves because more of the sun's energy is going into heating the atmosphere rather than evaporating non‐existent water in the soil. This heat wave aggravated the drought over the Pantanal and other regions in October 2020, increasing fires and impacts on natural and human systems, representing a severe drought‐heat compound event. This vicious cycle of drought and extreme heat is of the kind expected under a warming climate.
This paper describes the hydrographic observations in the southeastern Arabian Sea (SEAS) during two cruises carried out in March-June 2003 as part of the Arabian Sea Monsoon Experiment. The surface hydrography during March-April was dominated by the intrusion of low-salinity waters from the south; during May-June, the low-salinity waters were beginning to be replaced by the highsalinity waters from the north. There was considerable mixing at the bottom of the surface mixed layer, leading to interleaving of low-salinity and high-salinity layers. The flow paths constructed following the spatial patterns of salinity along the sections mimic those inferred from numerical models. Time-series measurements showed the presence of Persian Gulf and Red Sea Waters in the SEAS to be intermittent during both cruises: they appeared and disappeared during both the fortnight-long time series.
RESUMOO presente estudo mostra uma avaliação da previsão sazonal do Modelo RegCM3 em dois eventos extremos de precipitação, nos anos 2006 e 2007. Na análise foi utilizada a resolução horizontal de 1° x 1° km e validado com 30 x 15 pontos de latitude x longitude para a região do Estado do Amapá. Os resultados apresentados são referentes à comparação entre precipitação sazonal simulada e observada para o trimestre (MAM). De maneira geral, os resultados mostraram que a utilização da técnica de redução de escala de previsão da precipitação sazonal, apresentou um bom desempenho em simular a variabilidade da chuva em escala regional. Porém, erros na quantidade e na posição de alguns máximos foram observados, quando comparado com os dados observados. O viés úmido foi predominante na região litorânea e o viés seco nas áreas sul-sudeste, oeste e centro com forte persistência na região sudeste. Não se observou regiões com valores estimados de precipitação próximos aos valores observados. Palavras-chave: Precipitação Sazonal, Variabilidade, Amapá, Modelagem Climática. ABSTRACT: REGIONAL CLIMATE MODELING FOR TWO YEARS OF EXTREME PRECIPITATION OVER THE STATE OF AMAPA: TEST OF SENSITIVITY TO CONVECTIVE SCHEMESThis study shows an assessment of the seasonal forecast model RegCM3 in two extreme events of precipitation for the years 2006 and 2007. For the analysis a 1° x 1º km horizontal resolution was used and validated with 30 x 15 points of latitude x longitude for the region of the State of Amapa. The presented results are for the comparison between simulated and observed seasonal precipitation in the quarter (MAM). In general, the results showed that using the scale reduction technique to predict the seasonal rainfall, a good performance in simulating the variability of rainfall on a regional scale is obtained. However, errors in the precipitation amount and on some maximum position were observed when compared with the observed data. The wet bias was prevalent in the humid coastal region and the dry bias in the south-southeast, west and center with a strong persistence in the Southeast. Regions with precipitation values close to the observed ones were not very evident.
<p>The main atmospheric teleconnection patterns in the Southern Hemisphere are the Southern Annular Mode (SAM) and the Pacific South American (PSA). The SAM has opposite atmospheric anomalies between high and middle latitudes and it is linked with the polar vortex intensity and jet streams. PSA shows a wavetrain pattern from tropical to the extratropical atmosphere over the South Pacific Ocean triggered by convection in the tropical Indian, Maritime Continent and tropical Pacific. These modes modulate the atmospheric circulation variability and have an influence on the precipitation over Southern Hemisphere continents, mainly in South America (SA). Global models are able to represent these modes in climate simulations of seasonal timescale. The objective of this study is to analyse these teleconnections in hindcasts of subseasonal timescale and the relations to precipitation anomalies over South America. Predictions in the subseasonal time scale of austral summer are very important for several sectors of Southeastern and Southern regions of SA, as these are very populated regions and have agriculture and the largest hydropower,&#160; which are very much affected by precipitation extremes, both excess and lack of rain. Two models of the S2S project (ECMWF and NCEP) are used for the summer seasons of 1999 to 2011 and the patterns are compared to ERA5 reanalyses and GPCP data. EOF analyses of geopotential at 200 hPa and regression analyses against precipitation show the patterns and the influences over South America. The SAM pattern is represented in predictions of 1 to 4 weeks in advance, and PSA pattern, from 1 to 3 weeks in advance. Then, the atmospheric circulation and meteorological variables composites of extreme positive and negative amplitudes of SAM and PSA are analysed to interpret precipitation anomalies during these specific periods for predictions of weeks 2 and 3.</p>
Kick-off Workshop of Indo-Norwegian Project PREPARE; Bergen, Norway, 27–31 March 2017
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