Stable isotope composition of atmospheric water input between 2012 and 2014 at the southern slopes of Mt. Kilimanjaro, Tanzania

The dataset provides detailed information about the stable isotope composition of different precipitation types (rainfall, fog, throughfall). It was manually collected on up to 9 study plots generally on a weekly basis between November 2012 and November 2014.The following map shows the distribution of the study plots on the southern slopes of Mt. Kilimanjaro. The study plots span across an altitude gradient rising from 950 m to nearly 4,000 m a.s.l. The plot IDs are the ones used within the respective research group. Moisture sources (- 96 hours) of the isotope samples were estimated using backward trajectory computations with the HYSPLIT model (https://www.ready.noaa.gov/HYSPLIT.php) and the R opentraj package (Thalles Santos Silva (2014). opentraj: Tools for Creating and Analysing Air Trajectory Data. R package version 1.0. https://cran.r-project.org/package=opentraj). Reanalysis data was taken from NCEP/NCAR version 2 ( https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/reanalysis-1-reanalysis-2).

Data and Resources

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Cite this as

Otte, Insa, Detsch, Florian, Guetlein, Adrian, Scholl, Martha A, Kiese, Ralf, Appelhans, Tim, Nauss, Thomas (2022). Dataset: Stable isotope composition of atmospheric water input between 2012 and 2014 at the southern slopes of Mt. Kilimanjaro, Tanzania. https://doi.org/10.1594/PANGAEA.942829

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.942829
Author Otte, Insa
Given Name Insa
Family Name Otte
More Authors
Detsch, Florian
Guetlein, Adrian
Scholl, Martha A
Kiese, Ralf
Appelhans, Tim
Nauss, Thomas
Source Creation 2022
Publication Year 2022
Subject Areas
Name: LakesRivers

Related Identifiers
Title: Seasonality of stable isotope composition of atmospheric water input at the southern slopes of Mt. Kilimanjaro, Tanzania
Identifier: https://doi.org/10.1002/hyp.11311
Type: DOI
Relation: References
Year: 2017
Source: Hydrological Processes
Authors: Otte Insa , Detsch Florian , Gütlein Adrian , Scholl Martha A , Kiese Ralf , Appelhans Tim , Nauss Thomas .