Polar Portal ########################################################## Daily and accumulated surface mass budget and melt area is calculated using output from the DMI HARMONIE-AROME IGB model. This model is run daily for weather prediction purposes and the SMB model output is provided here purely for information purposes. While we do strive to provide data in near real-time, DMI takes no responsibility for any errors, gaps or other data deficiencies or any losses suffered as a result of these. The surface mass balance model is described in Langen et al., 2017 Liquid Water Flow and Retention on the Greenland Ice Sheet in the Regional Climate Model HIRHAM5: Local and Large-Scale Impacts , Frontiers in Earth Science, 4  (https://www.frontiersin.org/article/10.3389/feart.2016.00110). PLEASE NOTE: Surface mass balance is a model product augmented with observations. In an initial set-up ("assimilation") step, the HARMONIE-AROME model makes a short term forecast which is compared to meteorological observations and, if necessary, slightly corrected. This observation-enhanced model field is then used as a basis to run the dedicated surface mass balance model. This implies that the real-time calculated surface mass balance depends on the underlying operational weather model. Operational models are routinely updated, and even though the results based on the different models resemble each other, they are not identical. As a consequence, time series of the calculated surface mass balances or the comparison of results from different years should be treated with some caution. Note that the long-term climatology used in the polarportal plots (the average period from 1981-2010) are based on similar output from a different climate model, HIRHAM5 also run at DMI using the ERA-Interim reanalysis (Mottram et al., 2017 Surface mass balance of the Greenland ice sheet in the regional climate model HIRHAM5: Present state and future prospects, Journal of Low Temperature Science, 75, 105-115: https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65106/1/12_105-115.pdf). However, the same SMB model is used to calculate melt and SMB for the background period so that the variables are comparable. Data from this constant version is also freely available to download (see: http://www.prudence.dmi.dk/data/temp/RUM/HIRHAM/Greenland/ERAI). Please acknowledge DMI/Polar Portal if you use this data in published works. We recommend that you contact us before working with the data to avoid possible misinterpretation. Many more variables are available and we can supply further data for scientific purposes. Please contact info@polarportal.dk. ########################################################## Date SMB(Gt/day) SMBacc(Gt) 20220901 0.878 0.9 20220902 0.770 1.6 20220903 4.783 6.4 20220904 0.036 6.5 20220905 -0.471 6.0 20220906 0.419 6.4 20220907 -0.380 6.0 20220908 1.191 7.2 20220909 1.320 8.5 20220910 0.821 9.4 20220911 5.375 14.7 20220912 3.255 18.0 20220913 1.135 19.1 20220914 1.144 20.3 20220915 4.318 24.6 20220916 2.201 26.8 20220917 4.206 31.0 20220918 4.906 35.9 20220919 2.403 38.3 20220920 2.030 40.3 20220921 2.167 42.5 20220922 4.284 46.8 20220923 8.062 54.9 20220924 9.522 64.4 20220925 0.731 65.1 20220926 2.793 67.9 20220927 3.385 71.3 20220928 1.466 72.8 20220929 0.899 73.7 20220930 1.496 75.1 20221001 2.779 77.9 20221002 3.212 81.1 20221003 2.862 84.0 20221004 1.293 85.3 20221005 1.487 86.8 20221006 0.807 87.6 20221007 0.667 88.3 20221008 0.680 88.9 20221009 0.681 89.6 20221010 2.437 92.1 20221011 2.840 94.9 20221012 1.912 96.8 20221013 0.567 97.4 20221014 3.247 100.6 20221015 1.177 101.8 20221016 4.889 106.7 20221017 7.231 113.9 20221018 5.940 119.9 20221019 4.188 124.0 20221020 1.836 125.9 20221021 4.814 130.7 20221022 4.712 135.4 20221023 3.357 138.8 20221024 2.542 141.3 20221025 2.050 143.4 20221026 1.590 144.9 20221027 4.302 149.2 20221028 5.248 154.5 20221029 6.572 161.1 20221030 2.352 163.4 20221031 2.510 165.9 20221101 1.902 167.8 20221102 0.908 168.7 20221103 0.799 169.5 20221104 3.429 173.0 20221105 3.711 176.7 20221106 2.337 179.0 20221107 1.401 180.4 20221108 2.008 182.4 20221109 1.156 183.6 20221110 1.424 185.0 20221111 2.713 187.7 20221112 2.563 190.3 20221113 4.552 194.8 20221114 6.482 201.3 20221115 3.402 204.7 20221116 2.188 206.9 20221117 4.642 211.5 20221118 4.173 215.7 20221119 3.112 218.8 20221120 4.092 222.9 20221121 5.505 228.4 20221122 4.115 232.5 20221123 1.332 233.9 20221124 0.376 234.3 20221125 2.149 236.4 20221126 1.375 237.8 20221127 0.478 238.3 20221128 1.654 239.9 20221129 2.473 242.4 20221130 7.989 250.4 20221201 7.500 257.9 20221202 2.917 260.8 20221203 8.828 269.6 20221204 2.038 271.7 20221205 1.065 272.7 20221206 1.627 274.3 20221207 1.899 276.2 20221208 1.038 277.3 20221209 3.481 280.8 20221210 2.959 283.7 20221211 0.843 284.6 20221212 0.031 284.6 20221213 0.864 285.5 20221214 0.968 286.4 20221215 2.069 288.5 20221216 1.913 290.4 20221217 0.123 290.5 20221218 0.544 291.1 20221219 1.614 292.7 20221220 1.011 293.7 20221221 0.350 294.1 20221222 0.088 294.1 20221223 0.110 294.3 20221224 0.261 294.5 20221225 0.291 294.8 20221226 0.276 295.1 20221227 0.579 295.7 20221228 0.695 296.4 20221229 0.815 297.2 20221230 0.556 297.7 20221231 0.745 298.5 20230101 2.924 301.4 20230102 3.270 304.7 20230103 2.718 307.4 20230104 1.173 308.6 20230105 0.948 309.5 20230106 0.322 309.8 20230107 0.503 310.3 20230108 0.499 310.8 20230109 0.385 311.2 20230110 0.347 311.6 20230111 0.243 311.8 20230112 0.301 312.1 20230113 0.284 312.4 20230114 1.650 314.0 20230115 1.183 315.2 20230116 1.319 316.5 20230117 0.573 317.1 20230118 0.557 317.7 20230119 1.790 319.5 20230120 2.943 322.4 20230121 3.017 325.4 20230122 3.397 328.8 20230123 1.536 330.4 20230124 1.121 331.5 20230125 3.935 335.4 20230126 5.089 340.5 20230127 2.265 342.8