Replication Package for Artifact

Miltner, Anders; Maina, Solomon; Fisher, Kathleen; Pierce, Benjamin C.; Walker, David; Zdancewic, Steve

doi:10.1145/3342531

Cited by 1 publication

(2 citation statements)

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“…Here we calculated annual erosivity as well as long-term average annual erosivity for each one of the 175,545 grid points and for each of the five data sets (CPS-hist, CPS-scen-nf, CPS-scen-ff, CPS-eval-hist, CPS-eval-present). We used the command line suite Climate Data Operators (CDO, Schulzweida, 2022) and the library ncdf4 (Pierce, 2019) of the statistical software R to extract time series of 30 years (19 years for CPS-eval-present) for each grid cell and each data set and calculated rainfall erosivity as described above. As the COSMO-CLM model output is available at a temporal resolution of 60 min, three adjustments were made as proposed by Fischer et al ( 2018): (i) the rainfall intensity threshold of Imax30 to define an erosive rain event was lowered from 12.7 mm h -1 to 5.8 mm h -1 , (ii) Imax30 in Eq.…”

Section: High Temporal Resolution Approachmentioning

confidence: 99%

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Past, present and future rainfall erosivity in Central Europe based on convection-permitting climate simulations

Uber

Haller

Brendel

et al. 2023

Preprint

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Abstract. Heavy rainfall is the main driver of soil erosion by water which is a threat to soil and water resources across the globe. As a consequence of climate change, precipitation – and especially extreme precipitation – is increasing in a warmer world, leading to an increase in rainfall erosivity. However, conventional global climate models struggle to represent extreme rain events and cannot provide precipitation data at the high spatio-temporal resolution that is needed for an accurate estimation of future rainfall erosivity. Convection-permitting simulations (CPS) on the other hand, provide high-resolution precipitation data and a better representation of extreme rain events, but they are mostly limited to relatively small spatial extents and short time periods. Here we present for the first time rainfall erosivity and soil erosion scenarios in a large modelling domain such as Central Europe based on high-resolution CPS climate data generated with COSMO-CLM. We calculate rainfall erosivity for the past (1971–2000), present (2001–2019), near future (2031–2060) and far future (2071–2100) and apply the new data set in the soil erosion model WaTEM/SEDEM for the Elbe River basin. Our results showed that future increases in rainfall erosivity in Central Europe can be up to 84 % in the river basins of Central Europe. These increases are much higher than previously estimated based on regression with mean annual precipitation. In consequence, soil erosion and sediment delivery in the Elbe River basin are also increasing strongly. Locally, changes in erosion rates can be as high as 120 %. We conclude that despite remaining limitations, convection-permitting simulations have an enormous and to date unexploited potential for climate impact studies on soil erosion. Thus, the soil erosion modelling community should follow closely the recent and future advances in climate modelling to take advantage of new CPS for climate impact studies.

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Section: High Temporal Resolution Approachmentioning

confidence: 99%

“…Additionally, evaluation simulations were conducted with reanalysis data forcing for the time period 1971-2019.…”

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confidence: 99%