Urban-PLUMBER

A multi-site model evaluation project for urban areas

Phase 2 Phase 1 Download project protocol
Mathew Lipson (UNSW), Sue Grimmond (Reading), Martin Best (Met Office),
with observational and modelling participants.

Hotel Torni, Helsinki, Finland (FI-Torni)

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Observations (before additional gap filling)

./obs_plots/all_obs_qc.png

Site forcing metadata

  observation_attributes
title URBAN-PLUMBER forcing data for FI-Torni
summary Observed and ERA5-derived surface meteorological data for Hotel Torni, Helsinki, Finland. Data is for use by registered participants of Urban-PLUMBER in this project only. Do not distribute. All times in UTC.
sitename FI-Torni
long_sitename Hotel Torni, Helsinki, Finland
version v0.9
conventions ALMA+CF.rev13
featureType timeSeries
time_coverage_start 2000-01-01 00:00:00
time_coverage_end 2013-12-31 22:00:00
time_analysis_start 2010-12-31 22:30:00
time_shown_in UTC
local_utc_offset_hours 2.0
timestep_interval_seconds 1800.0
timestep_number_spinup 192861
timestep_number_analysis 52608
observations_contact Leena Järvi (leena.jarvi@helsinki.fi)
observations_reference Järvi, Rannik, Kokkonen, Kurppa, Karppinen, Kouznetsov, Rantala, Vesala and Wood (2018): https://doi.org/10.5194/amt-11-5421-2018; Nordbo, Järvi, Haapanala, Moilanen, Vesala, (2013): https://doi.org/10.1007/s10546-012-9773-y
project_contact Mathew Lipson: m.lipson@unsw.edu.au, Sue Grimmond: c.s.grimmond@reading.ac.uk, Martin Best: martin.best@metoffice.gov.uk
date_created 2021-09-16 01:05:51
other_references ERA5: Copernicus Climate Change Service (C3S) (2017): https://cds.climate.copernicus.eu/cdsapp#!/home NCI Australia: http://doi.org/10.25914/5f48874388857
acknowledgements Contains modified Copernicus Climate Change Service Information (ERA5 hourly data on single levels). Data from replica hosted by NCI Australia. With thanks to all involved in collecting, processing and hosting observational data
comment Flow distortion in sectors 40-150 degrees excluded from flux analyses. Air pressure, relative humidity, wind and rainfall filled from nearby Kumpula tower.
history v0.9 (2021-09-08): beta issue

Site images

   
Region Regional map. © OpenStreetMap site_map Site map with 500 m radius. © OpenStreetMap
site_photo Site photo. © L. Järvi site_sat Site aerial photo with 500 m radius. © OpenStreetMap, Microsoft

Maps developed from: Hrisko, J. (2020). Geographic Visualizations in Python with Cartopy. Maker Portal.

Site characteristics

id parameter value units source doi
1 latitude 60.1678 degrees_north Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
2 longitude 24.9387 degrees_east Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
3 ground_height 15.2 m Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
4 measurement_height_above_ground 60 m Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
5 impervious_area_fraction 0.77 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
6 tree_area_fraction 0.15 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
7 grass_area_fraction 0.07 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
8 bare_soil_area_fraction 0 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
9 water_area_fraction 0.01 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
10 roof_area_fraction 0.37 1 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
11 road_area_fraction 0.25 1 estimated, see notes calculated using OpenStreetMap data in same footprint as Nordbo et al. (2015)
12 other_paved_area_fraction 0.15 1 estimated, see notes calculated using OpenStreetMap data in same footprint as Nordbo et al. (2015)
13 building_mean_height 17.9 m Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
14 tree_mean_height 8.3 m Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
15 roughness_length_momentum 1.4 m Nordbo et al. (2013) (morphometric) https://doi.org/10.1007/s10546-012-9773-y
16 displacement_height 14.9 m Nordbo et al. (2013) (morphometric) https://doi.org/10.1007/s10546-012-9773-y
17 canyon_height_width_ratio 1.1 1 estimated, see notes derived from 0.44 frontal area index reported in Nordbo et al. 2013 and Eq. 7 & 8 in Porson et al. 2010
18 wall_to_plan_area_ratio 1.38 1 estimated, see notes derived from 0.44 frontal area index reported in Nordbo et al. 2013 and Eq. 1 in Masson et al. 2020
19 average_albedo_at_midday 0.11 1 median of observations -
20 resident_population_density 8100 person/km2 Karsisto et al. (2016) https://doi.org/10.1002/qj.2659
21 anthropogenic_heat_flux_mean 14.2 W/m2 Dong et al. (2017) https://doi.org/10.1016/j.atmosenv.2016.11.040
22 topsoil_clay_fraction 0.25 1 OpenLandMap https://doi.org/10.5281/zenodo.2525663
23 topsoil_sand_fraction 0.48 1 OpenLandMap https://doi.org/10.5281/zenodo.2525662
24 topsoil_bulk_density 940 kg/m3 OpenLandMap https://doi.org/10.5281/zenodo.2525665
25 building_height_standard_deviation 4.9 m Nordbo et al. (2013) https://doi.org/10.1007/s10546-012-9773-y
26 roughness_length_momentum_mac 1.78 m Macdonald method derived from morphology using eq. 26 of Macdonald et al. (1998)
27 displacement_height_mac 11.4 m Macdonald method derived from morphology using eq. 23 of Macdonald et al. (1998)
28 roughness_length_momentum_kanda 1.5 m Kanda method derived from morphology using eq. 12a of Kanda et al. (2013)
29 displacement_height_kanda 20.94 m Kanda method derived from morphology using eq. 10a of Kanda et al. (2013)

Site forcing

SWdown forcing

SWdown

LWdown forcing

LWdown

Tair forcing

Tair

Qair forcing

Qair

PSurf forcing

PSurf

Rainf forcing

Rainf

Snowf forcing

Snowf

Wind_N forcing

Wind_N

Wind_E forcing

Wind_E

Quality control (qc) and gap filling procedure

QC process on observations

  1. Out-of-range: removal of unphysical values (e.g. negative shortwave radiation) using the ALMA expected range protocol.
  2. Night: nocturnal shortwave radiation set to zero, excluding civil twilight (when the sun is 6° below the horizon).
  3. Constant: four or more timesteps with the same value (excluding zero values for shortwave radiation, rainfall and snowfall) are removed as suspicious.
  4. Outlier: remove values outside ±4 standard deviations for each hour in a rolling 30-day window (to account for diurnal and seasonal variations). Repeat with a larger tolerance (± 5 standard deviations) until no outliers remain. The outlier test is not applied to precipitation.
  5. Visual: remaining suspect readings are removed manually via visual inspection.

Gap-filling process

LWdown diurnal qc

./obs_plots/LWdown_obs_qc_diurnal.png

LWup diurnal qc

./obs_plots/LWup_obs_qc_diurnal.png

PSurf diurnal qc

./obs_plots/PSurf_obs_qc_diurnal.png

Qair diurnal qc

./obs_plots/Qair_obs_qc_diurnal.png

Qh diurnal qc

./obs_plots/Qh_obs_qc_diurnal.png

Qle diurnal qc

./obs_plots/Qle_obs_qc_diurnal.png

Rainf diurnal qc

./obs_plots/Rainf_obs_qc_diurnal.png

SWdown diurnal qc

./obs_plots/SWdown_obs_qc_diurnal.png

SWup diurnal qc

./obs_plots/SWup_obs_qc_diurnal.png

Snowf diurnal qc

./obs_plots/Snowf_obs_qc_diurnal.png

Tair diurnal qc

./obs_plots/Tair_obs_qc_diurnal.png

Wind_E diurnal qc

./obs_plots/Wind_E_obs_qc_diurnal.png

Wind_N diurnal qc

./obs_plots/Wind_N_obs_qc_diurnal.png

Bias correction diurnal comparison

Four methods drawing on ERA5 reanalysis are compared relative to the quality-controlled flux tower data. The methods are:

  1. ERA5: the nearest land based 0.25° resolution ERA5 grid (i.e. without bias correction)
  2. WFDE5: the nearest WFDE5 grid (which use 0.5° gridded monthly observations for bias correction)
  3. UP: the Urban-PLUMBER methods used in this collection (using site observations for bias correction)
  4. LN: linear methods based on FLUXNET2015 (using site observations for bias correction)

ERA5 bias correction

The UP methods are as follows:

Mean absolute error (MAE) is shown in the legend.

Tair diurnal bias correction

./era_correction/FI-Torni_Tair_all_diurnal.png

Qair diurnal bias correction

./era_correction/FI-Torni_Qair_all_diurnal.png

PSurf diurnal bias correction

./era_correction/FI-Torni_PSurf_all_diurnal.png

LWdown diurnal bias correction

./era_correction/FI-Torni_LWdown_all_diurnal.png

SWdown diurnal bias correction

./era_correction/FI-Torni_SWdown_all_diurnal.png

Wind diurnal bias correction

./era_correction/FI-Torni_Wind_all_diurnal.png

Rainf diurnal bias correction

./era_correction/FI-Torni_Rainf_all_diurnal.png

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