Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-15870
For citation please use:
Main Title: Berlin Evapotranspiration and Cooling Services
Author(s): Duarte Rocha, Alby
Other Contributor(s): Vulova, Stenka
Förster, Michael
Kleinschmit, Birgit
Type: Generic Research Data
URI: https://depositonce.tu-berlin.de/handle/11303/17091
http://dx.doi.org/10.14279/depositonce-15870
License: https://creativecommons.org/licenses/by-nc/4.0/
Abstract: Evapotranspiration (ET) is an essential variable for assessing water balance and the urban heat island (UHI) effect. ET is deeply dependent on the land cover as it derives mainly from soil evaporation and plant transpiration. The model soil-canopy observation of photosynthesis and energy fluxes (SCOPE) accounts for a broad range of surface-atmosphere interactions to predict ET. However, like most modelling approaches, SCOPE assumes a homogeneous vegetated landscape to estimate ET. As urban environments are highly fragmented, exhibiting a mix of vegetated and impervious surfaces, we propose a two-stage modelling approach to capture most of the spatiotemporal variability of ET without making the model overly complex. After predicting ET using the SCOPE model, the bias caused by the assumption of homogeneous vegetation is corrected using a vegetation fraction map. The ET prediction accuracy was assessed using eddy covariance towers, showing an R2 of 0.84 for the residential-vegetated site and 0.57 for the built-up site in Berlin during 2019. Urban green infrastructures (UGI) are fundamental to microclimate regulation and thermal comfort through evapotranspiration (ET) and shading services. High-spatiotemporal-resolution ET maps are required to plan and manage UGI to mitigate the UHI and droughts. We developed a method using open-access data, including hourly meteorological data and remote sensing vegetation parameters. A greening cooling service index (GCoS), divided into evapotranspirative (ECoS) and radiative (RCoS) cooling effects were mapped for the entire Berlin, Germany.
Subject(s): Urban Evapotranspiration (ET)
Cooling Services
Thermal Comfort
SCOPE modelling
Soil-Vegetation-Atmosphere interactions
Issue Date: 2022
Date Available: 20-Jun-2022
Language Code: en
DDC Class: 550 Earth Sciences
551 Geologie, Hydrologie, Meteorologie
Sponsor/Funder: DFG, 248198858, GRK 2032-2, Grenzzonen in urbanen Wassersystemen
TU Affiliation(s): Fak. 6 Planen Bauen Umwelt » Inst. Landschaftsarchitektur und Umweltplanung » FG Geoinformation in der Umweltplanung
Appears in Collections:Technische Universität Berlin » Research Data

Files in This Item:
Inputs_Berlin_2019.csv

Inputs used in the SCOPE model to derive heat and vapor fluxes - Berlin 2019

Format: CSV | Size: 1.73 GB
Download
Inputs_Berlin_2020.csv

Inputs used in the SCOPE model to derive heat and vapor fluxes - Berlin 2020

Format: CSV | Size: 2.6 GB
Download
Outputs_Berlin_2019.csv

Outputs (heat and vapor fluxes) from the SCOPE model - Berlin 2019

Format: CSV | Size: 2.22 GB
Download
Outputs_Berlin_2020.csv

Outputs (heat and vapor fluxes) from the SCOPE model - Berlin 2020

Format: CSV | Size: 2.22 GB
Download
Cooling_Maps.geojson

ET and cooling services indices maps of Berlin 2019/2020 - geojson extension

Format: geojson (GeoJSON) | Size: 48.87 MB
Download
Cooling_Maps.gpkg

ET and cooling services indices maps of Berlin 2019/2020 - gpkg extension

Format: gpkg (GeoPackage) | Size: 18.22 MB
Download
Cooling_Maps.rds

ET and cooling services indices maps of Berlin 2019/2020 - rds r extension

Format: rds (r) | Size: 8.99 MB
Download
grid_template.tif

Template raster (1km grid) map of Berlin used for the SCOPE model inputs and outputs - tif extension

Format: TIFF | Size: 5.94 kB
Download
Thumbnail
Metadata_description.pdf

Metadata - description of the model inputs and outputs

Format: Adobe PDF | Size: 865.03 kB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons