Matches in SemOpenAlex for { <https://semopenalex.org/work/W2977614893> ?p ?o ?g. }
- W2977614893 endingPage "5607" @default.
- W2977614893 startingPage "5583" @default.
- W2977614893 abstract "Abstract. Many climate extremes, including heatwaves and heavy precipitation events, are projected to worsen under climate change, with important impacts for society. Future projections required for adaptation are often based on climate model simulations. Given finite resources, trade-offs must be made concerning model resolution, ensemble size, and level of model complexity. Here we focus on the resolution component. A given resolution can be achieved over a region using either global climate models (GCMs) or at lower cost using regional climate models (RCMs) that dynamically downscale coarser GCMs. Both approaches to increasing resolution may better capture small-scale processes and features (downscaling effect), but increased GCM resolution may also improve the representation of the large-scale atmospheric circulation (upscaling effect). The size of this upscaling effect is therefore important for deciding modelling strategies. Here we evaluate the benefits of increased model resolution for both global and regional climate models for simulating temperature, precipitation, and wind extremes over Europe at resolutions that could currently be realistically used for coordinated sets of climate projections at the pan-European scale. First we examine the benefits of regional downscaling by comparing EURO-CORDEX simulations at 12.5 and 50 km resolution to their coarser CMIP5 driving simulations. Secondly, we compare global-scale HadGEM3-A simulations at three resolutions (130, 60, and 25 km). Finally, we separate out resolution-dependent differences for HadGEM3-A into downscaling and upscaling components using a circulation analogue technique. Results suggest limited benefits of increased resolution for heatwaves, except in reducing hot biases over mountainous regions. Precipitation extremes are sensitive to resolution, particularly over complex orography, with larger totals and heavier tails of the distribution at higher resolution, particularly in the CORDEX vs. CMIP5 analysis. CMIP5 models underestimate precipitation extremes, whilst CORDEX simulations overestimate compared to E-OBS, particularly at 12.5 km, but results are sensitive to the observational dataset used, with the MESAN reanalysis giving higher totals and heavier tails than E-OBS. Wind extremes are somewhat stronger and heavier tailed at higher resolution, except in coastal regions where large coastal grid boxes spread strong ocean winds further over land. The circulation analogue analysis suggests that differences with resolution for the HadGEM3-A GCM are primarily due to downscaling effects." @default.
- W2977614893 created "2019-10-10" @default.
- W2977614893 creator A5018655711 @default.
- W2977614893 creator A5019293107 @default.
- W2977614893 creator A5035291423 @default.
- W2977614893 creator A5037302119 @default.
- W2977614893 creator A5049381544 @default.
- W2977614893 creator A5059210866 @default.
- W2977614893 date "2020-11-18" @default.
- W2977614893 modified "2023-10-17" @default.
- W2977614893 title "The benefits of increasing resolution in global and regional climate simulations for European climate extremes" @default.
- W2977614893 cites W1518497269 @default.
- W2977614893 cites W1603438430 @default.
- W2977614893 cites W1751190512 @default.
- W2977614893 cites W1831098712 @default.
- W2977614893 cites W1912607455 @default.
- W2977614893 cites W1915917403 @default.
- W2977614893 cites W1918373451 @default.
- W2977614893 cites W1924681377 @default.
- W2977614893 cites W1936550881 @default.
- W2977614893 cites W1960438638 @default.
- W2977614893 cites W1965788195 @default.
- W2977614893 cites W1977452429 @default.
- W2977614893 cites W1978648105 @default.
- W2977614893 cites W1988123516 @default.
- W2977614893 cites W1992904499 @default.
- W2977614893 cites W1995638124 @default.
- W2977614893 cites W2021530952 @default.
- W2977614893 cites W2024966118 @default.
- W2977614893 cites W2027609762 @default.
- W2977614893 cites W2031964839 @default.
- W2977614893 cites W2034536992 @default.
- W2977614893 cites W2038147149 @default.
- W2977614893 cites W2040520892 @default.
- W2977614893 cites W2046873294 @default.
- W2977614893 cites W2053879742 @default.
- W2977614893 cites W2055935868 @default.
- W2977614893 cites W2058420228 @default.
- W2977614893 cites W2087175503 @default.
- W2977614893 cites W2090827448 @default.
- W2977614893 cites W2099548454 @default.
- W2977614893 cites W2099707596 @default.
- W2977614893 cites W2115955657 @default.
- W2977614893 cites W2120373626 @default.
- W2977614893 cites W2140803301 @default.
- W2977614893 cites W2149900683 @default.
- W2977614893 cites W2157924877 @default.
- W2977614893 cites W2168515722 @default.
- W2977614893 cites W2168578738 @default.
- W2977614893 cites W2168832918 @default.
- W2977614893 cites W2169739307 @default.
- W2977614893 cites W2170816806 @default.
- W2977614893 cites W2175698080 @default.
- W2977614893 cites W2193503481 @default.
- W2977614893 cites W2220861217 @default.
- W2977614893 cites W2313044238 @default.
- W2977614893 cites W2336209181 @default.
- W2977614893 cites W2341721186 @default.
- W2977614893 cites W2405112077 @default.
- W2977614893 cites W2466335669 @default.
- W2977614893 cites W2526597492 @default.
- W2977614893 cites W2547753504 @default.
- W2977614893 cites W2550337802 @default.
- W2977614893 cites W2555606946 @default.
- W2977614893 cites W2557990229 @default.
- W2977614893 cites W2570687652 @default.
- W2977614893 cites W2599510423 @default.
- W2977614893 cites W2606856895 @default.
- W2977614893 cites W2607131187 @default.
- W2977614893 cites W2740272900 @default.
- W2977614893 cites W2783948133 @default.
- W2977614893 cites W2807732999 @default.
- W2977614893 cites W2809389973 @default.
- W2977614893 cites W2896234726 @default.
- W2977614893 cites W2897877882 @default.
- W2977614893 cites W2901405293 @default.
- W2977614893 cites W2904522884 @default.
- W2977614893 cites W2910264263 @default.
- W2977614893 cites W2952236828 @default.
- W2977614893 cites W2954444473 @default.
- W2977614893 cites W2971973031 @default.
- W2977614893 cites W2984990078 @default.
- W2977614893 cites W3005144748 @default.
- W2977614893 cites W3007158305 @default.
- W2977614893 cites W3009245786 @default.
- W2977614893 cites W3017164639 @default.
- W2977614893 cites W3017645179 @default.
- W2977614893 cites W3026544274 @default.
- W2977614893 cites W3035303601 @default.
- W2977614893 cites W3036889053 @default.
- W2977614893 cites W3050049428 @default.
- W2977614893 cites W3096518963 @default.
- W2977614893 doi "https://doi.org/10.5194/gmd-13-5583-2020" @default.
- W2977614893 hasPublicationYear "2020" @default.
- W2977614893 type Work @default.
- W2977614893 sameAs 2977614893 @default.
- W2977614893 citedByCount "24" @default.
- W2977614893 countsByYear W29776148932021 @default.