AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat, SDATA-20-01059

The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering all global wheat mega environments. The multi-model ensemble reported here has been thoroughly benchmarked against a large number of experimental data, including different locations, growing season temperatures, atmospheric CO2 concentration, heat stress scenarios, and their interactions. In this paper, we describe the main characteristics of this global simulation dataset. Detailed cultivar, crop management, and soil datasets were compiled for all locations to drive 32 wheat growth models. The dataset consists of 30-year simulated data including 25 output variables for nine climate scenarios, including Baseline (1980-2010) with 360 or 550 ppm CO2, Baseline +2oC or +4oC with 360 or 550 ppm CO2, a mid-century climate change scenario (RCP8.5, 571 ppm CO2), and 1.5°C (423 ppm CO2) and 2.0oC (487 ppm CO2) warming above the pre-industrial period (HAPPI). This global simulation dataset can be used as a benchmark from a well-tested multi-model ensemble in future analyses of global wheat. Also, resource use efficiency (e.g., for radiation, water, and nitrogen use) and uncertainty analyses under different climate scenarios can be explored at different scales. The DOI for the dataset is 10.5281/zenodo.4027033 (AgMIP-Wheat, 2020), and all the data are available on the data repository of Zenodo (doi: 10.5281/zenodo.4027033).Two scientific publications have been published based on some of these data here

Variação temporal dos elementos climáticos e da ETo em Catalão, Goiás, no período de 1961-2011

Neste trabalho se avaliou a existência de tendência na distribuição temporal dos elementos do clima e da evapotranspiração de referência para a localidade de Catalão, no estado de Goiás. Para o período de 1961 a 2011 um conjunto de dados diários de temperatura máxima e mínima do ar, insolação, velocidade do vento e umidade relativa, para o período de 1961 a 2011 foi utilizado para o cálculo da evapotranspiração pelo método de Penman-Monteith. Buscou-se identificar a presença de tendência para as séries de dados mensais através da aplicação dos testes estatísticos de Mann-Kendall, do estimador da inclinação de Sen e da regressão linear com o teste de Student, para o coeficiente angular da reta. Devido ao aumento das temperaturas máxima e mínima e à redução da umidade relativa, aumentos estatisticamente significativos foram observados na evapotranspiração de referência para os meses de setembro, outubro, dezembro e para a série anual

An analysis of the tendency of reference evapotranspiration estimates and other climate variables during the last 45 years in Southern Spain

Climate change will have important implications in the agriculture of semi-arid regions, such as Southern Spain, where the expected warmer and drier conditions might augment crop water demand. To evaluate these effects, a data set consisting of observed daily values of air temperature, relative humidity, sunshine duration and wind speed from eight weather stations in Andalusia and covering the period 1960-2005 was used for estimating reference evapotranspiration (ETo). ETo was calculated using five methods: the more complex Penman-Monteith FAO-56 (PM) equation, considered as a reference in this study, and four alternative methods with fewer data requirements, Hargreaves, Blaney-Criddle, Radiation and Priestley-Taylor. These methods were compared to PM with respect to ETo average values and trends. The non-parametric Mann-Kendall test was used to evaluate annual and seasonal trends in the main climate variables and ETo. Due to increases in air temperature and solar radiation, and decreases in relative humidity, statistically significant increases in PM-ETo were detected (up to 3.5 mm year-1). Although the Hargreaves equation provided the closest average values to PM, this method did not detect any ETo trend. On the other hand, trends found from Blaney-Criddle and Radiation ETo values were similar to those obtained from PM. In addition, after a local adjustment, these two methods gave accurate ETo average values. Therefore, Blaney-Criddle and Radiation methods have shown themselves to be the most accurate approaches for ETo determination in climate change studies, when available data provided by climate models are limited.Reference evapotranspiration Climate change Temporal trends Penman-Monteith