Appelhans Tim tim.appelhans@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/tim-appelhans/ Mwangomo Ephraim mwangomo@yahoo.com http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/ephraim-mwangomo/ Otte Insa ottein@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/insa-otte/ Detsch Florian florian.detsch@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/florian-detsch/ 0000-0003-2755-5332 Nauss Thomas nauss@staff.uni-marburg.de http://www.umweltinformatik-marburg.de/ 0000-0003-3422-0960 Hemp Andreas andreas.hemp@uni-bayreuth.de http://www.pflanzenphysiologie.uni-bayreuth.de/pflanzenphysiologie/de/mitarbeiter/mit/mitarbeiter_detail.php?id_obj=35223 2022 Monthly maps of air temperature and air humidity of the southern slopes of Kilimanjaro, Tanzania dataset https://doi.org/10.1594/PANGAEA.942820 2022-03-30T13:12:51 Monthly maps of air temperature and air humidity of the southern slopes of Kilimanjaro, Tanzania. The dataset is part of our study on eco‐meteorological characteristics of the southern slopes of Kilimanjaro, Tanzania ([https://doi.org/10.1002/joc.4552]). (1) ta200_kriging.zip The dataset contains interpolate monthly air temperature maps using universal kriging with elevation, aspect, slope, sky‐view factor and mean monthly normalized difference vegetation index (NDVI) as external drift variables. This corresponds to step 5 in chapter 3.1 of [https://doi.org/10.1002/joc.4552]. (2) rh200_kriging.zip The dataset contains interpolate monthly air humidity maps using universal kriging with elevation, aspect, slope, sky‐view factor and mean monthly normalized difference vegetation index (NDVI) as external drift variables. This corresponds to step 5 in chapter 3.1 of [https://doi.org/10.1002/joc.4552]. (3) ta200_kriging_multi-year_average.zip and rh200_kriging_multi-year_average.zip The dataset contains multi-year monthly averages from (1) and (2) and a map of the multi-year annual mean air temperature and humidity. This corresponds to step 6 in chapter 3.1 of [https://doi.org/10.1002/joc.4552]. For the datasets (1) and (2), we used 5-min measurements between 2011 and 2014 of 52 climate stations that distributed across the southern slopes of Mt. Kilimanjaro. We aggregated the 5-min measurements to hourly observations and filled existing gaps of up to 1 year through multivariate regression using the five nearest stations. We aggregated the gap-filled hourly data to daily averages if at least 22 h of valid records exist for that day at a specific station. Finally, we aggregated the daily averages to monthly averages if a single month has at least 20 valid daily records. Appelhans Tim tim.appelhans@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/tim-appelhans/ Mwangomo Ephraim mwangomo@yahoo.com http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/ephraim-mwangomo/ Otte Insa ottein@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/insa-otte/ Detsch Florian florian.detsch@staff.uni-marburg.de http://umweltinformatik-marburg.de/mitarbeiterinnen-und-mitarbeiter/florian-detsch/ 0000-0003-2755-5332 Nauss Thomas nauss@staff.uni-marburg.de http://www.umweltinformatik-marburg.de/ 0000-0003-3422-0960 Hemp Andreas andreas.hemp@uni-bayreuth.de http://www.pflanzenphysiologie.uni-bayreuth.de/pflanzenphysiologie/de/mitarbeiter/mit/mitarbeiter_detail.php?id_obj=35223 2016 Eco-meteorological characteristics of the southern slopes of Kilimanjaro, Tanzania journal article International Journal of Climatology 36(9) https://doi.org/10.1002/joc.4552 3245-3258 uncoded table KiLi Kilimanjaro Research Group Zoologisches Institut, Universität Würzburg https://ror.org/00fbnyb24 German Research Foundation DFG http://www.dfg.de/en/ https://doi.org/10.13039/501100001659 107847609 Kilimanjaro Research Group https://gepris.dfg.de/project/107847609 4 CC-BY-4.0 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Binary Object Binary Nauss Thomas nauss@staff.uni-marburg.de http://www.umweltinformatik-marburg.de/ 0000-0003-3422-0960 Binary Binary Object (Media Type) Binary (Type) Nauss Thomas nauss@staff.uni-marburg.de http://www.umweltinformatik-marburg.de/ 0000-0003-3422-0960 Binary (Type) Binary Object (File Size) Binary (Size) Bytes Nauss Thomas nauss@staff.uni-marburg.de http://www.umweltinformatik-marburg.de/ 0000-0003-3422-0960 Binary (Size) [Bytes] CurationLevelB Basic curation https://wiki.pangaea.de/wiki/Curation_levels citable humidity Kilimanjaro Temperature author66037 author66057 author66090 author66091 author66096 author66107 award106 curlevel20 funder20472 inst20378 journal7264 license21 param146419 pi66091 project4202 ref100373 term37599 term50955 term51093 topotype11