Anticipated changes in Alaska extreme precipitation

Flooding from extreme precipitation can have major impacts on society in Alaska. Understanding how these extremes may change in the future is needed for better planning under climate change. Data on future changes in extreme precipitation over Alaska from dynamically downscaled output of two global climate models (GFDL and CCSM) were employed in this study. Threshold amounts for duration of the precipitation event (1 hour, 1 day and 30 day) and return intervals (2, 10, and 50 years) are evaluated and further downscaled onto NOAA Atlas 14. For each duration and return interval, the models’ fractional changes of threshold amounts are applied to the Atlas 14 estimates to remove the model bias. The threshold amounts for nearly all event durations and return intervals are projected to increase from present (1979-2005) amounts to higher values in later decadal periods (2020-2049, 2050-2079, and 2080-2099), and the percentage increases generally exceed the changes in the mean amounts. The percentage increases are comparable in the various geographical regions of Alaska, but the increases in the actual amounts are greatest in the wetter Southeast. While the downscaled GFDL model shows larger increases than the CCSM model in amounts for nearly all durations and return intervals, both models indicate that convective precipitation will become an increasingly greater fraction of the total precipitation during the warm season. The increase in the proportion of convective precipitation is consistent with the more rapid increase in extreme amounts than in mean amounts.

Soil moisture regimes in Mexico in a global 1.5°C warming scenario

Purpose This study aims to present the climate change effect on soil moisture regimes in Mexico in a global 1.5°C warming scenario. Design/methodology/approach The soil moisture regimes were determined using the Newhall simulation model with the database of mean monthly precipitation and temperature at a scale of 1: 250,000 for the current scenario and with the climate change scenarios associated with a mean global temperature increase of 1.5°C, considering two Representative Concentration Pathways, 4.5 and 8.5 W/m2 and three general models of atmospheric circulation, namely, GFDL, HADGEM and MPI. The different vegetation types of the country were related to the soil moisture regimes for current conditions and for climate change. Findings According to the HADGEM and MPI models, almost the entire country is predicted to undergo a considerable increase in soil moisture deficit, and part of the areas of each moisture regime will shift to the next drier regime. The GFDL model also predicts this trend but at smaller proportions. Originality/value The changes in soil moisture at the regional scale that reveal the impacts of climate change and indicate where these changes will occur are important elements of the knowledge concerning the vulnerability of soils to climate change. New cartography is available in Mexico.

Impact of Upper-Tropospheric Temperature Anomalies and Vertical Wind Shear on Tropical Cyclone Evolution Using an Idealized Version of the Operational GFDL Hurricane Model

The GFDL hurricane modeling system, initiated in the 1970s, has progressed from a research tool to an operational system over four decades. This system is still in use today in research and operations, and its evolution will be briefly described. This study used an idealized version of the 2014 GFDL model to test its sensitivity across a wide range of three environmental factors that are often identified as key factors in tropical cyclone (TC) evolution: SST, atmospheric stability (upper-air thermal anomalies), and vertical wind shear (westerly through easterly). A wide range of minimum central pressure intensities resulted (905–980 hPa). The results confirm that a scenario (e.g., global warming) in which the upper troposphere warms relative to the surface will have less TC intensification than one with a uniform warming with height. The TC rainfall is also investigated for the SST–stability parameter space. Rainfall increases for combinations of SST increase and increasing stability similar to global warming scenarios, consistent with climate change TC downscaling studies with the GFDL model. The forecast system’s sensitivity to vertical shear was also investigated. The idealized model simulations showed weak disturbances dissipating under strong easterly and westerly shear of 10 m s−1. A small bias for greater intensity under easterly sheared versus westerly sheared environments was found at lower values of SST. The impact of vertical shear on intensity was different when a strong vortex was used in the simulations. In this case, none of the initial disturbances weakened, and most intensified to some extent.

Implicações das Mudanças do Clima no Zoneamento Agroclimático da Cana-de-açúcar no Estado do Tocantins, Considerando o Modelo GFDL (Implications of Climatic Changes on Agroclimatic Sugarcane Zoning for Tocantins State, Considering the GFDL Model)

Tem havido a expansão do complexo sucroalcooleiro para as regiões Centro-Norte do país, devido ao aumento da demanda pelo etanol, tornando relevante a elaboração do zoneamento agroclimático para a cultura da cana-de-açúcar para essas regiões, notadamente para o estado do Tocantins. As informações climáticas e edáficas favorecem a determinação de áreas mais aptas ao cultivo e à mecanização. Por outro lado poderá ocorrer a elevação do risco climático nas regiões produtoras devido à possível influência das mudanças do clima. O presente estudo visou simular o impacto das mudanças do clima sobre o zoneamento agroclimático para a cana-de-açúcar no Tocantins, considerando os dados do modelo GFDL e cenários de emissão B1 e A1B, para o período de 2021 a 2050. Os resultados mostraram que tanto para as condições climáticas atuais, quanto para projeção do modelo, não há restrição térmica para o desenvolvimento da cultura, e que para obter boa produtividade no Estado será necessário, de forma geral, a utilização de irrigação nos períodos de deficiência hídrica. Constatou-se que, existe potencial para a produção, apesar da predominância da classe de aptidão “restrita”, e que as regiões potenciais com condições agroclimáticas favoráveis, estão localizadas no sul, sudeste e centro do Estado. As simulações dos cenários de emissões indicam fortes restrições hídricas para o Tocantins, com grande redução de áreas consideradas “aptas” e “marginais”, e aumento das áreas “restritas” ao cultivo da cana-de-açúcar. A B S T R A C T There has been an expansion trend of ethanol demand, the tendency to expansion of the complex sugarcane industry in the Center-North region requires an elaboration of agroclimatic zoning for sugarcane culture, especially in Tocantins State. The climatic and edaphic informations favor the determination of most suitable areas for cultivation and mechanization. On the other hands, it may occur an elevation of the climatic risk in the producing regions due to the possible influence of climate change. This study aimed to simulate the impact of climate change on agroclimatic zoning for sugarcane in Tocantins, considering the data generated by GFDL model and B1 and A1B emission scenarios for the period between 2021and 2050. Results showed that for both the current climatic conditions and the projected models there is no thermal restrictions for cane development and to obtain good productivity it will be necessary to irrigate the crops during the drought periods. It was found that there is potential for the production , despite the predominance of "; restricted "; aptitude class, and that the potential regions with favorable agroclimatic conditions, are located in the south, southeast and center of the State. Simulations of emissions scenarios indicate strong water restrictions to Tocantins, with great reduction in areas considered ";apt"; and ";marginal";, and increase of the ";restricted"; areas for the sugarcane cultivation. Keywords: Agroenergy; ethanol; water balance; agroclimatic aptitude; global warming

A Radiative–Convective Equilibrium Perspective of Weakening of the Tropical Walker Circulation in Response to Global Warming

Both observational analysis and GCM simulations indicate that the tropical Walker circulation is becoming weaker and may continue to weaken as a consequence of climate change. Here, the authors use a conceptual radiative–convective equilibrium (RCE) framework to interpret the weakening of the Walker circulation as simulated by the GFDL coupled GCM. Based on the modeled lapse rate and clear-sky cooling rate profiles, the RCE framework can directly compute the change of vertical velocity in the descending branch of the Walker circulation, which agrees with the counterpart simulated by the GFDL model. The results show that the vertical structure of clear-sky radiative cooling rate QR will change in response to the increased water vapor as the globe warms. The authors explain why the change of QR is positive in the uppermost part of the troposphere (<300 hPa) and is negative for the rest of the troposphere. As a result, both the change of clear-sky cooling rate and the change of tropospheric lapse rate contribute to the weakening of circulation. The vertical velocity changes due to the two factors are comparable to each other from the top of the planetary boundary layer to 600 hPa. From 600 to 300 hPa lapse rate changes are the dominant cause of the weakening circulation. Above 300 hPa, the change due to QR is opposite to the change due to lapse rate, which forces a slight increase in vertical velocity that is seen in the model simulation.

Do Climate Models Underestimate the Sensitivity of Northern Hemisphere Sea Ice Cover?

The sensitivity of Northern Hemisphere sea ice cover to global temperature change is examined in a group of climate models and in the satellite-era observations. The models are found to have well-defined, distinguishable sensitivities in climate change experiments. The satellite-era observations show a larger sensitivity—a larger decline per degree of warming—than any of the models. To evaluate the role of natural variability in this discrepancy, the sensitivity probability density function is constructed based upon the observed trends and natural variability of multidecadal ice cover and global temperature trends in a long control run of the GFDL Climate Model, version 2.1 (CM2.1). This comparison shows that the model sensitivities range from about 1 to more than 2 pseudostandard deviations of the variability smaller than observations indicate. The impact of natural Atlantic multidecadal temperature trends (as simulated by the GFDL model) on the sensitivity distribution is examined and found to be minimal.