Ruisdael Observatory Data Catalog - Recent changes [en]

Diego Alves Gouveia

Suzanne Klaver — Mon, 11 May 2026 10:31:13 GMT

Created page with "{{Person |name=Diego Alves Gouveia |mbox=opendata@knmi.nl |affiliation=KNMI |hasRole=researcher }}"

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{{Person
|name=Diego Alves Gouveia
|mbox=opendata@knmi.nl
|affiliation=KNMI
|hasRole=researcher
}}

KNMI Lutjewad UV-Lidar (LUVLi) uncalibrated attenuated backscatter

Suzanne Klaver — Mon, 11 May 2026 10:15:48 GMT

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	\|description=Together with the cloud radar and microwave radiometer operated by TU-Delft in Lutjewad, the KNMI operated UV-lidar completes the suite of instruments minimally needed to contribute to a ACTRIS cloud remote sensing station. The lidar also is a start for aerosol remote sensing at the station.		\|description=Together with the cloud radar and microwave radiometer operated by TU-Delft in Lutjewad, the KNMI operated UV-lidar completes the suite of instruments minimally needed to contribute to a ACTRIS cloud remote sensing station. The lidar also is a start for aerosol remote sensing at the station.

	Dataset is on request ~~and soon will be published on dataplatform.knmi.nl~~.		Dataset is on request.
	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|license=CC BY 4.0		\|license=CC BY 4.0

Clouds - calibrated attenuated backscatter profiles from CHM15k ceilometers in the KNMI observation network, 5 minute averaged data

Suzanne Klaver — Thu, 07 May 2026 15:05:27 GMT

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	\|description=This dataset contains calibrated attenuated backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes calibrated, unvalidated files for 33 sites in the nationwide ceilometer network. Level 2 data processing is performed by the EUMETNET E-PROFILE ALC data hub. Vertical resolution: 30 m, time resolution: 5 minutes.		\|description=This dataset contains calibrated attenuated backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes calibrated, unvalidated files for 33 sites in the nationwide ceilometer network. Level 2 data processing is performed by the EUMETNET E-PROFILE ALC data hub. Vertical resolution: 30 m, time resolution: 5 minutes.
	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
			\|format=netCDF
			\|servedBy=KNMI Data Platform
			\|landingPage=https://dataplatform.knmi.nl/dataset/ceilonet-chm15k-backsct-la1-t05-v2-0
			\|license=CC BY 4.0
			\|contactPoint=Suzanne Klaver
			\|hasKeywords=aerosol, backscatter, ceilometer, clouds, lidar
			\|atLocation=Cabauw
			\|hasGeographicCoordinates=51.968317 N, 4.929234 E
	\|startDate=2025-08-18		\|startDate=2025-08-18
	\|endDate=2030-01-01		\|endDate=2030-01-01
	}}		}}

Clouds - calibrated attenuated backscatter profiles from CHM15k ceilometers in the KNMI observation network, 5 minute averaged data

Suzanne Klaver — Thu, 07 May 2026 15:03:36 GMT

Created page with "{{Dataset |title=Clouds - calibrated attenuated backscatter profiles from CHM15k ceilometers in the KNMI observation network, 5 minute averaged data |description=This dataset contains calibrated attenuated backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes calibrated, unvalidated files for 33 sites in the nationwide ceilometer network. Level 2 data processing is performed by the EUMETNET E-PROFILE ALC data hu..."

New page

{{Dataset
|title=Clouds - calibrated attenuated backscatter profiles from CHM15k ceilometers in the KNMI observation network, 5 minute averaged data
|description=This dataset contains calibrated attenuated backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes calibrated, unvalidated files for 33 sites in the nationwide ceilometer network. Level 2 data processing is performed by the EUMETNET E-PROFILE ALC data hub. Vertical resolution: 30 m, time resolution: 5 minutes.
|type=Remote Sensing Observation
|startDate=2025-08-18
|endDate=2030-01-01
}}

Clouds - cloud base heights and backscatter profiles from CHM15k ceilometers in the KNMI observation network, 12 second instrument data

Suzanne Klaver — Thu, 07 May 2026 11:28:23 GMT

Created page with "{{Dataset |title=Clouds - cloud base heights and backscatter profiles from CHM15k ceilometers in the KNMI observation network, 12 second instrument data |description=This dataset contains backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes uncalibrated, unvalidated data reported by the instrument at 33 sites in the nationwide meteorological observing network. Retrieved cloud base heights up to 3 layers, sky co..."

New page

{{Dataset
|title=Clouds - cloud base heights and backscatter profiles from CHM15k ceilometers in the KNMI observation network, 12 second instrument data
|description=This dataset contains backscatter profiles from the CHM15k ceilometer, a single-wavelength, automatic operating at 1064 nm. It includes uncalibrated, unvalidated data reported by the instrument at 33 sites in the nationwide meteorological observing network. Retrieved cloud base heights up to 3 layers, sky condition information and aerosol layer height, based on manufacturer algorithms are included. Vertical resolution: 10 m, time resolution: 12 s.
|type=Remote Sensing Observation
|format=netCDF
|servedBy=KNMI Data Platform
|landingPage=https://dataplatform.knmi.nl/dataset/ceilonet-chm15k-backsct-la1-t12s-v2-0
|license=CC BY 4.0
|contactPoint=Suzanne Klaver
|creator_organization=KNMI
|hasKeywords=aerosol, backscatter, ceilometer, clouds, dynamic, lidar
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|startDate=2025-08-01
|endDate=2030-01-01
}}

WUR scintillometer measurements at Cabauw site

Hong Zhao — Mon, 04 May 2026 15:00:50 GMT

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	{{Dataset		{{Dataset
	\|title=WUR-KNMI scintillimeter (long-path) measurements at Cabauw site		\|title=WUR-KNMI scintillimeter (long-path) measurements at Cabauw site
	\|description=The MicroWave Scintillometer (MWS) PRG-MWSC-160 is combined with an optical Large Aperture Scintillometer (LAS) in the near infrared spectral region to simultaneously observe sensible and latent heat fluxes. The measurements are significant for applications in radiation budget studies, weather forecasting, irrigation and water management. The OMS measurements are conducted at Cabauw site with a short parth (800m) and a long path (10km) instrumentation.		\|description=The MicroWave Scintillometer (MWS) PRG-MWSC-160 is combined with an optical Large Aperture Scintillometer (LAS) in the near infrared spectral region to simultaneously observe sensible and latent heat fluxes. The measurements are significant for applications in radiation budget studies, weather forecasting, irrigation and water management. The OMS measurements are conducted at Cabauw site with a short parth (800m) and a long path (10km) instrumentation.The sampling frequency is 1000Hz.

	WUR has processed scintillimeter raw scintillation data. The processed data include latent and heat fluxes ~~along with~~ meteorological data and data quality ~~flags~~.		WUR has processed scintillimeter raw scintillation data. The processed data include latent and heat fluxes at 30-minute interval.In addition to the turbulent flux values, the dataset contains: 1) the scintillation statistics and raw data quality flags; 2) variance data and structure parameters data, 3) ancillary data including essential meteorological data.

			The data processing workflow is as follows. The raw scintillometer data were physically constrained and cleaned of spikes using an IQR-based despiking method. The resulting quality flags were kept to assist in data quality evaluation. Subsequently, a moving window was used as a high-frequency filter to separate the scintillation signal from atmospheric absorption processes. The index and the variance of index were calculated. Then the refractive index structure parameters were calculated using the WUR developed hybrid method, which is based on the Ludi et al., (2005) method combined with the Hill et al. (1980) method. The Monin-Obukhov Similarity Theory (MOST) was then used to convert structure parameter data into turbulent fluxes.
	\|type=In-situ Observation		\|type=In-situ Observation
	\|dataLevel=Level 1		\|dataLevel=Level 1
	\|format=csv		\|format=csv
			\|servedBy=YODA
	\|contactPoint=Hong Zhao, Oscar Hartogensis, Reinder Ronda		\|contactPoint=Hong Zhao, Oscar Hartogensis, Reinder Ronda
	\|creator=Oscar Hartogensis		\|creator=Oscar Hartogensis

Form:DatasetSearch

Jose Dias Neto — Fri, 01 May 2026 11:40:08 GMT

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Jose Dias Neto — Fri, 01 May 2026 11:39:51 GMT

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Jose Dias Neto — Fri, 01 May 2026 11:25:42 GMT

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Jose Dias Neto — Fri, 01 May 2026 11:22:16 GMT

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Marije Timmermans

Jose Dias Neto — Fri, 01 May 2026 11:11:06 GMT

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	\|name=Marije Timmermans		\|name=Marije Timmermans
	\|mbox=opendata@knmi.nl		\|mbox=opendata@knmi.nl
	~~\|affiliation=KNMI~~
	\|hasRole=data manager		\|hasRole=data manager
	}}		}}
	Marije is a member of the Ruisdael data catalog core development team since December 2024.		Marije is a member of the Ruisdael data catalog core development team since December 2024.

KNMI surface radiation observations at Cabauw

Suzanne Klaver — Fri, 01 May 2026 10:49:32 GMT

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	\|servedBy=KNMI Data Platform		\|servedBy=KNMI Data Platform
	\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-surface-radiation-lc1-t10-v1-0		\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-surface-radiation-lc1-t10-v1-0
	\|contactPoint=~~Mariska Koning~~		\|contactPoint=cabauw.insitu@knmi.nl
	\|creator=Mariska Koning		\|creator=Mariska Koning
	\|creator_organization=KNMI		\|creator_organization=KNMI

KNMI Soil heat observations at Cabauw

Suzanne Klaver — Fri, 01 May 2026 10:49:18 GMT

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	\|servedBy=KNMI Data Platform		\|servedBy=KNMI Data Platform
	\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-soil-heat-lb1-t10-v1-0		\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-soil-heat-lb1-t10-v1-0
	\|contactPoint=~~Mariska Koning~~		\|contactPoint=cabauw.insitu@knmi.nl
	\|creator=Mariska Koning		\|creator=Mariska Koning
	\|creator_organization=KNMI		\|creator_organization=KNMI

KNMI meteorological profiles in the Cabauw tower

Suzanne Klaver — Fri, 01 May 2026 10:49:05 GMT

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	\|servedBy=KNMI Data Platform		\|servedBy=KNMI Data Platform
	\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-tower-meteo-lc1-t10-v1-1		\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-tower-meteo-lc1-t10-v1-1
	\|contactPoint=~~Mariska Koning~~		\|contactPoint=cabauw.insitu@knmi.nl
	\|creator=Mariska Koning		\|creator=Mariska Koning
	\|creator_organization=KNMI		\|creator_organization=KNMI

KNMI DALES model outputs over Cabauw

Suzanne Klaver — Fri, 01 May 2026 10:48:53 GMT

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	\|landingPage=https://dataplatform.knmi.nl/dataset/dales-ruisdael-4-3-r		\|landingPage=https://dataplatform.knmi.nl/dataset/dales-ruisdael-4-3-r
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=~~Mariska Koning~~		\|contactPoint=cabauw.insitu@knmi.nl
	\|creator=Mariska Koning		\|creator=Mariska Koning
	\|creator_organization=KNMI		\|creator_organization=KNMI

KNMI surface weather observations at Cabauw

Suzanne Klaver — Fri, 01 May 2026 10:47:57 GMT

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	\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-surface-meteo-lc1-t10-v1-0		\|landingPage=https://dataplatform.knmi.nl/dataset/cesar-surface-meteo-lc1-t10-v1-0
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=cabauw ~~in-situ team~~		\|contactPoint=cabauw.insitu@knmi.nl
	\|creator=~~Fred Bosveld~~		\|creator=cabauw.insitu@knmi.nl
	\|creator_organization=KNMI		\|creator_organization=KNMI
	\|atLocation=Cabauw		\|atLocation=Cabauw

Mariska Koning

Suzanne Klaver — Fri, 01 May 2026 10:46:54 GMT

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	{{Person		{{Person
	\|name=Mariska Koning		\|name=Mariska Koning
	\|mbox=~~mariska~~.~~koning~~@knmi.nl		\|mbox=cabauw.insitu@knmi.nl
	\|affiliation=KNMI		\|affiliation=KNMI
	\|hasRole=researcher		\|hasRole=researcher
	}}		}}

TU Delft Micro Rain Radar MRR001 at Green Village

Jose Dias Neto — Fri, 01 May 2026 08:41:30 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=TU-Delft Project Drive~~, 4TU~~		\|servedBy=4TU, TU-Delft Project Drive
	\|landingPage=https://data.4tu.nl/datasets/8e48ad08-c19c-4409-9dae-6cbce05a6ae9/1		\|landingPage=https://data.4tu.nl/datasets/8e48ad08-c19c-4409-9dae-6cbce05a6ae9
	\|identifier=https://doi.org/10.4121/8e48ad08-c19c-4409-9dae-6cbce05a6ae9		\|identifier=https://doi.org/10.4121/8e48ad08-c19c-4409-9dae-6cbce05a6ae9
	\|license=CC BY 4.0		\|license=CC BY 4.0

TU Delft Micro Rain Radar MRR005 at Slufter

Jose Dias Neto — Fri, 01 May 2026 08:40:42 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=~~KNMI Data Platform,~~ TU-Delft Project Drive		\|servedBy=TU-Delft Project Drive, 4TU
	\|landingPage=https://~~dataplatform~~.~~knmi~~.nl/~~dataset~~/~~ruisdael~~-~~mrr~~-~~slufter~~-1-0		\|landingPage=https://data.4tu.nl/datasets/1aff015c-1d8f-4975-8e09-a6ea0315b104
			\|identifier=https://doi.org/10.4121/1aff015c-1d8f-4975-8e09-a6ea0315b104
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=Marc Schleiss		\|contactPoint=Marc Schleiss

TU Delft Micro Rain Radar MRR006 at De Zweth

Jose Dias Neto — Fri, 01 May 2026 08:39:23 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=~~KNMI Data Platform,~~ TU-Delft Project Drive		\|servedBy=TU-Delft Project Drive, 4TU
	\|landingPage=https://~~dataplatform~~.~~knmi~~.~~nl/dataset~~/~~ruisdael~~-~~mrr~~-~~dezweth~~-1-0		\|landingPage=data.4tu.nl/datasets/86b0758f-8148-46d2-85c2-3fbc637aa818
			\|identifier=https://doi.org/10.4121/86b0758f-8148-46d2-85c2-3fbc637aa818
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=Marc Schleiss		\|contactPoint=Marc Schleiss

TU Delft Micro Rain Radar MRR003 at Westmaas

Jose Dias Neto — Fri, 01 May 2026 08:38:22 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=~~KNMI Data Platform,~~ TU-Delft Project Drive		\|servedBy=TU-Delft Project Drive, 4TU
	\|landingPage=https://~~dataplatform~~.~~knmi~~.nl/~~dataset~~/~~ruisdael~~-~~mrr~~-~~westmaas~~-1		\|landingPage=https://data.4tu.nl/datasets/9da1537f-6bfd-4e71-8211-b8c536a71be6
			\|identifier=https://doi.org/10.4121/9da1537f-6bfd-4e71-8211-b8c536a71be6
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=Marc Schleiss		\|contactPoint=Marc Schleiss

TU Delft Micro Rain Radar MRR002 at Cabauw

Jose Dias Neto — Fri, 01 May 2026 08:37:18 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=~~KNMI Data Platform,~~ TU-Delft Project Drive		\|servedBy=TU-Delft Project Drive, 4TU
	\|landingPage=https://~~dataplatform~~.~~knmi~~.nl/~~dataset~~/~~ruisdael~~-~~mrr~~-~~cabauw~~-2		\|landingPage=https://data.4tu.nl/datasets/1c1c7d62-0c96-438e-9316-8d253e46bbbd
			\|identifier=https://doi.org/10.4121/1c1c7d62-0c96-438e-9316-8d253e46bbbd
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=Marc Schleiss		\|contactPoint=Marc Schleiss

TU Delft Micro Rain Radar MRR001 at Green Village

Jose Dias Neto — Fri, 01 May 2026 08:35:54 GMT

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	\|type=Remote Sensing Observation		\|type=Remote Sensing Observation
	\|format=netCDF		\|format=netCDF
	\|servedBy=~~KNMI Data Platform,~~TU-Delft Project Drive		\|servedBy=TU-Delft Project Drive, 4TU
	\|landingPage=https://~~dataplatform~~.~~knmi~~.nl/~~dataset~~/~~ruisdael~~-~~mrr~~-~~greenvillage~~-2		\|landingPage=https://data.4tu.nl/datasets/8e48ad08-c19c-4409-9dae-6cbce05a6ae9/1
			\|identifier=https://doi.org/10.4121/8e48ad08-c19c-4409-9dae-6cbce05a6ae9
	\|license=CC BY 4.0		\|license=CC BY 4.0
	\|contactPoint=Marc Schleiss		\|contactPoint=Marc Schleiss
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	\|hasGeographicCoordinates=51.9961 N, 4.37868 E		\|hasGeographicCoordinates=51.9961 N, 4.37868 E
	\|hasElevation=0		\|hasElevation=0
	\|startDate=2020-6-8		\|startDate=2020-06-08
	\|endDate=2030-1-1		\|endDate=2030-01-01
	}}		}}

WUR-KNMI scintillometer measurements (long-path) at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:49:17 GMT

Hong Zhao deleted page WUR-KNMI scintillometer measurements (long-path) at Cabauw site content was: "#REDIRECT WUR scintillometer measurements (short-path) at Cabauw site and Amsterdam site", and the only contributor was "Hong Zhao" (talk)

WUR CarbonTracker Europe CTE2024 fluxes

Hong Zhao — Thu, 30 Apr 2026 14:39:55 GMT

← Older revision		Revision as of 16:39, 30 April 2026
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	Please cite the paper of Friedlingstein et al., (2024, https://doi.org/10.5194/essd-2024-519) for the fluxes used. Please cite the paper of van der Laan-Luijkx et al., (2017, https://doi.org/10.5194/gmd-10-2785-2017) for the data assimilation system used.		Please cite the paper of Friedlingstein et al., (2024, https://doi.org/10.5194/essd-2024-519) for the fluxes used. Please cite the paper of van der Laan-Luijkx et al., (2017, https://doi.org/10.5194/gmd-10-2785-2017) for the data assimilation system used.
	\|type=Model Data		\|type=Model Data
	\|dataLevel=Level 2		\|dataLevel=Level 3
	\|format=netCDF		\|format=netCDF
	\|servedBy=ICOS Data Portal		\|servedBy=ICOS Data Portal
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	\|creator=Ingrid Luijkx		\|creator=Ingrid Luijkx
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
	\|hasKeywords=CarbonTracker, Europe, ~~CTE2024 fluxes, monthly mean flux~~, annually mean flux, data assimilation system, ~~Inversions~~		\|hasKeywords=CTE2024 fluxes, CarbonTracker, Europe, Inversions, annually mean flux, data assimilation system, monthly mean flux
	\|atLocation=Europe		\|atLocation=Europe
	\|startDate=2001-07-01		\|startDate=2001-07-01

WUR near-real-time CO2 fluxes from CarbonTracker CTE-HR system

Hong Zhao — Thu, 30 Apr 2026 14:39:22 GMT

← Older revision		Revision as of 16:39, 30 April 2026
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	\|description=Carbon dioxide (CO2) exchange over Europe at high resolution (0.1 × 0.2∘) and in near real time (about 2 months' latency) was estimated with the CarbonTracker Europe High-Resolution (CTE-HR) system. The modelled CTE-HR CO2 fluxes matched mole fraction observations at Integrated Carbon Observation System (ICOS) sites across Europe after atmospheric transport with the Transport Model, version 5 (TM5) and the Stochastic Time-Inverted Lagrangian Transport (STILT), driven by ECMWF-IFS, and captured the magnitude and variability of measured CO2 fluxes in the city center of Amsterdam (the Netherlands). Details of this dataset is described in detail in: van der Woude et al., Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling, Earth Syst. Sci. Data, 15,, 579–605, https://doi.org/10.5194/essd-15-579-2023, 2023.		\|description=Carbon dioxide (CO2) exchange over Europe at high resolution (0.1 × 0.2∘) and in near real time (about 2 months' latency) was estimated with the CarbonTracker Europe High-Resolution (CTE-HR) system. The modelled CTE-HR CO2 fluxes matched mole fraction observations at Integrated Carbon Observation System (ICOS) sites across Europe after atmospheric transport with the Transport Model, version 5 (TM5) and the Stochastic Time-Inverted Lagrangian Transport (STILT), driven by ECMWF-IFS, and captured the magnitude and variability of measured CO2 fluxes in the city center of Amsterdam (the Netherlands). Details of this dataset is described in detail in: van der Woude et al., Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling, Earth Syst. Sci. Data, 15,, 579–605, https://doi.org/10.5194/essd-15-579-2023, 2023.
	\|type=Model Data		\|type=Model Data
	\|dataLevel=Level 2		\|dataLevel=Level 3
	\|format=netCDF		\|format=netCDF
	\|servedBy=ICOS Data Portal		\|servedBy=ICOS Data Portal
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	\|creator=Auke van der Woude		\|creator=Auke van der Woude
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
	\|hasKeywords=Near-real-time CO2 fluxes~~, CarbonTracker, Europe, Europe, High-resolution~~		\|hasKeywords=CarbonTracker, Europe, High-resolution, Near-real-time CO2 fluxes
	\|atLocation=Europe		\|atLocation=Europe
	\|startDate=2016-12-31		\|startDate=2016-12-31

WUR-KNMI scintillometer measurements (long-path) at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:36:08 GMT

Hong Zhao undeleted page WUR-KNMI scintillometer measurements (long-path) at Cabauw site (1 revision)

WUR-KNMI scintillimeter measurements at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:35:13 GMT

Hong Zhao undeleted page WUR-KNMI scintillimeter measurements at Cabauw site (1 revision)

WUR-KNMI scintillimeter measurements at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:32:39 GMT

Hong Zhao deleted page WUR-KNMI scintillimeter measurements at Cabauw site content was: "#REDIRECT WUR-KNMI scintillometer measurements (long-path) at Cabauw site", and the only contributor was "Hong Zhao" (talk)

WUR-KNMI scintillometer measurements (long-path) at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:31:56 GMT

WUR scintillometer measurements (short-path) at Cabauw site and Amsterdam site

Hong Zhao — Thu, 30 Apr 2026 14:28:12 GMT

Hong Zhao moved page WUR scintillometer measurements (short-path) at Cabauw site and Amsterdam site to WUR scintillometer measurements at Cabauw site

New page

{{Dataset
|title=WUR-KNMI scintillimeter (long-path) measurements at Cabauw site
|description=The MicroWave Scintillometer (MWS) PRG-MWSC-160 is combined with an optical Large Aperture Scintillometer (LAS) in the near infrared spectral region to simultaneously observe sensible and latent heat fluxes. The measurements are significant for applications in radiation budget studies, weather forecasting, irrigation and water management. The OMS measurements are conducted at Cabauw site with a short parth (800m) and a long path (10km) instrumentation.

WUR has processed scintillimeter raw scintillation data. The processed data include latent and heat fluxes along with meteorological data and data quality flags.
|type=In-situ Observation
|dataLevel=Level 1
|format=csv
|contactPoint=Hong Zhao, Oscar Hartogensis, Reinder Ronda
|creator=Oscar Hartogensis
|creator_organization=Wageningen University
|hasKeywords=Cabauw, scintillimeter, turbulent fluxes
|atLocation=Cabauw
|startDate=2021-05-01
|endDate=2030-01-01
}}
We are working on making the processed H and LE data available. The data can be requested upon Oscar Hartogensis (oscar.hartogensis@wur.nl).

WUR-KNMI scintillometer measurements (long-path) at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:26:13 GMT

Hong Zhao moved page WUR-KNMI scintillometer measurements (long-path) at Cabauw site to WUR scintillometer measurements (short-path) at Cabauw site and Amsterdam site This page is for short-path scintillometer at Cabauw and Amsterdam site that are managed by WUR.

New page

WUR-KNMI scintillimeter measurements at Cabauw site

Hong Zhao — Thu, 30 Apr 2026 14:24:34 GMT

Hong Zhao moved page WUR-KNMI scintillimeter measurements at Cabauw site to WUR-KNMI scintillometer measurements (long-path) at Cabauw site This page is for long-path scintillometer

New page

WUR Veenkampen meteorological and air quality observations

Hong Zhao — Thu, 30 Apr 2026 14:02:52 GMT

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	\|creator=Bert Heusinkveld		\|creator=Bert Heusinkveld
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=Air Quality, Meteorology, Veenkampen, grassland, near-real time obervations, NOx, NH3
	\|atLocation=Veenkampen		\|atLocation=Veenkampen
	\|hasGeographicCoordinates=51.981167N, 5.620446E		\|hasGeographicCoordinates=51.981167N, 5.620446E
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	Data from the original Haarweg station (1974 – 2012) is not available in the database and is available upon request via observations.maq@wur.nl.		Data from the original Haarweg station (1974 – 2012) is not available in the database and is available upon request via observations.maq@wur.nl.

			Contact information: observations.maq@wur.nl

WUR Loobos meteorological and air quality observations

Hong Zhao — Thu, 30 Apr 2026 14:00:58 GMT

← Older revision		Revision as of 16:00, 30 April 2026
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	\|creator=Michiel van der Molen		\|creator=Michiel van der Molen
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
	\|hasKeywords=~~Meteorology,~~ Air Quality, near-real time obervations~~, Loobos~~, temperate forest		\|hasKeywords=Air Quality, Loobos, Meteorology, near-real time obervations, temperate forest
	\|atLocation=Loobos		\|atLocation=Loobos
	\|hasGeographicCoordinates=52.166581N, 5.743556E		\|hasGeographicCoordinates=52.166581N, 5.743556E
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	The research is done by MAQ at Wageningen University with Utrecht and Delft University as partners via the Ruisdael Observatory. Forest research is done by other groups in Wageningen as well, e.g. the GIS and Remote Sensing group collects LIDAR measurements of ecosystem geometry. We welcome other experimental groups and campaigns.		The research is done by MAQ at Wageningen University with Utrecht and Delft University as partners via the Ruisdael Observatory. Forest research is done by other groups in Wageningen as well, e.g. the GIS and Remote Sensing group collects LIDAR measurements of ecosystem geometry. We welcome other experimental groups and campaigns.

	~~ata~~ from the ~~original~~ Loobos site (1995 – 2021) is ~~not~~ available ~~in the database and is available upon request via~~ observations.maq@wur.nl.		Data from the Loobos first tower site (1995 – 2021) is available at https://zenodo.org/records/15721310.

			Contact information: observations.maq@wur.nl

WUR Amsterdam urban meteorological and flux observations

Hong Zhao — Thu, 30 Apr 2026 13:59:04 GMT

← Older revision		Revision as of 15:59, 30 April 2026
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	\|creator=Gert-Jan Steeneveld, Bert Heusinkveld		\|creator=Gert-Jan Steeneveld, Bert Heusinkveld
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
	\|hasKeywords=Amsterdam, WUR, urban flux observations, urban meteorological observations~~, near-real time obervations~~		\|hasKeywords=Amsterdam, WUR, near-real time obervations, urban flux observations, urban meteorological observations
	\|atLocation=Amsterdam		\|atLocation=Amsterdam
	\|hasGeographicCoordinates=52.3665N, 4.8929E		\|hasGeographicCoordinates=52.3665N, 4.8929E
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	The Amsterdam Atmospheric Monitoring Supersite (AAMS) is run by MAQ at Wageningen University in collaboration with the Amsterdam Institute for Advanced Metropolitan Solutions, the Municipality of Amsterdam, and the I-Change project.		The Amsterdam Atmospheric Monitoring Supersite (AAMS) is run by MAQ at Wageningen University in collaboration with the Amsterdam Institute for Advanced Metropolitan Solutions, the Municipality of Amsterdam, and the I-Change project.

			Contact information: observations.maq@wur.nl

WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)

Hong Zhao — Thu, 30 Apr 2026 13:57:07 GMT

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	Dataset underlying the publications:		Dataset underlying the publications:

	Zhao, H., Dolman, H., Elbers, J., Jans, W., Kruijt, B., Moors, E., Snellen, H., Vila-Guerau de Arellano, J., Peters, W., Krol, M., Hutjes, R., and van der Molen, M.: The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021), Earth Syst. Sci. Data ~~Discuss. [preprint]~~, https://doi.org/10.5194/essd-~~2025~~-~~372, in review~~, ~~(2025)~~.		Zhao, H., Dolman, H., Elbers, J., Jans, W., Kruijt, B., Moors, E., Snellen, H., Vila-Guerau de Arellano, J., Peters, W., Krol, M. C., Hutjes, R., and van der Molen, M.: The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021), Earth Syst. Sci. Data, 18, 2023–2045, https://doi.org/10.5194/essd-18-2023-2026, 2026.

	~~Michiel K.~~ van der Molen, ~~Henk~~ Snellen, ~~Rupert~~ Holzinger, ~~Johannes~~ G.M. ~~Barten~~, ~~Hong~~ Zhao, ~~Laurens~~ Ganzeveld, ~~Julie~~ Fry, ~~Wouter~~ Peters, ~~Maarten~~ Krol, ~~Jordi~~ Vila-Guerau de ~~Arrellano~~, ~~Bart~~ Kruijt: The ICOS Ecosystem Station Loobos: a pine forest site exposed to atmospheric pollution, ~~submitted to~~ Earth ~~System Science~~ Data (2026).		van der Molen, M. K., Snellen, H., Holzinger, R., Barten, J. G. M., Zhao, H., Ganzeveld, L., Fry, J., Peters, W., Krol, M., Vila-Guerau de Arrelano, J., and Kruijt, B.: The ICOS Ecosystem Station Loobos: a pine forest site exposed to atmospheric pollution, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2026-99, in review, 2026.

	The file & folder structure is as follows:		The file & folder structure is as follows:

WUR Amsterdam urban meteorological and flux observations

Hong Zhao — Thu, 30 Apr 2026 13:54:53 GMT

← Older revision		Revision as of 15:54, 30 April 2026
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	\|creator=Gert-Jan Steeneveld, Bert Heusinkveld		\|creator=Gert-Jan Steeneveld, Bert Heusinkveld
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
	\|hasKeywords=urban ~~meteorological~~ observations, urban ~~flux~~ observations, ~~Amsterdam, WUR~~		\|hasKeywords=Amsterdam, WUR, urban flux observations, urban meteorological observations, near-real time obervations
	\|atLocation=Amsterdam		\|atLocation=Amsterdam
	\|hasGeographicCoordinates=52.3665N, 4.8929E		\|hasGeographicCoordinates=52.3665N, 4.8929E

WUR near-real-time CO2 fluxes from CarbonTracker CTE-HR system

Hong Zhao — Thu, 30 Apr 2026 13:54:11 GMT

← Older revision		Revision as of 15:54, 30 April 2026
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	\|description=Carbon dioxide (CO2) exchange over Europe at high resolution (0.1 × 0.2∘) and in near real time (about 2 months' latency) was estimated with the CarbonTracker Europe High-Resolution (CTE-HR) system. The modelled CTE-HR CO2 fluxes matched mole fraction observations at Integrated Carbon Observation System (ICOS) sites across Europe after atmospheric transport with the Transport Model, version 5 (TM5) and the Stochastic Time-Inverted Lagrangian Transport (STILT), driven by ECMWF-IFS, and captured the magnitude and variability of measured CO2 fluxes in the city center of Amsterdam (the Netherlands). Details of this dataset is described in detail in: van der Woude et al., Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling, Earth Syst. Sci. Data, 15,, 579–605, https://doi.org/10.5194/essd-15-579-2023, 2023.		\|description=Carbon dioxide (CO2) exchange over Europe at high resolution (0.1 × 0.2∘) and in near real time (about 2 months' latency) was estimated with the CarbonTracker Europe High-Resolution (CTE-HR) system. The modelled CTE-HR CO2 fluxes matched mole fraction observations at Integrated Carbon Observation System (ICOS) sites across Europe after atmospheric transport with the Transport Model, version 5 (TM5) and the Stochastic Time-Inverted Lagrangian Transport (STILT), driven by ECMWF-IFS, and captured the magnitude and variability of measured CO2 fluxes in the city center of Amsterdam (the Netherlands). Details of this dataset is described in detail in: van der Woude et al., Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling, Earth Syst. Sci. Data, 15,, 579–605, https://doi.org/10.5194/essd-15-579-2023, 2023.
	\|type=Model Data		\|type=Model Data
			\|dataLevel=Level 2
	\|format=netCDF		\|format=netCDF
	\|servedBy=ICOS Data Portal		\|servedBy=ICOS Data Portal
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	\|creator=Auke van der Woude		\|creator=Auke van der Woude
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=Near-real-time CO2 fluxes, CarbonTracker, Europe, Europe, High-resolution
	\|atLocation=Europe		\|atLocation=Europe
	\|startDate=2016-12-31		\|startDate=2016-12-31

WUR Loobos meteorological and air quality observations

Hong Zhao — Thu, 30 Apr 2026 13:43:55 GMT

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	\|description=A 36 m tall tower is built at the site in 2021, hosting eddy covariance instruments (CO2, heat, evaporation, Volatile Organic Compounds), radiation instruments, profiles of temperature, water vapour, CO2, wind speed. Soil temperature, moisture and heat flux and water table depth measurements are collected around the tower. The data documentation such as stream names, units and instrument type of the Veenkampen can be found in the Excelsheet at the website of https://maq-observations.nl/.		\|description=A 36 m tall tower is built at the site in 2021, hosting eddy covariance instruments (CO2, heat, evaporation, Volatile Organic Compounds), radiation instruments, profiles of temperature, water vapour, CO2, wind speed. Soil temperature, moisture and heat flux and water table depth measurements are collected around the tower. The data documentation such as stream names, units and instrument type of the Veenkampen can be found in the Excelsheet at the website of https://maq-observations.nl/.
	\|type=In-situ Observation		\|type=In-situ Observation
			\|dataLevel=Level 1
	\|format=CSV		\|format=CSV
	\|servedBy=ICOS Data Portal, WUR Dataportal		\|servedBy=ICOS Data Portal, WUR Dataportal
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	\|creator=Michiel van der Molen		\|creator=Michiel van der Molen
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=Meteorology, Air Quality, near-real time obervations, Loobos, temperate forest
	\|atLocation=Loobos		\|atLocation=Loobos
	\|hasGeographicCoordinates=52.166581N, 5.743556E		\|hasGeographicCoordinates=52.166581N, 5.743556E

WUR Loobos ecosystem historical data

Hong Zhao — Thu, 30 Apr 2026 13:42:17 GMT

← Older revision		Revision as of 15:42, 30 April 2026
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	\|title=WUR The Loobos ecosystem historical dataset: meteorology, turbulent fluxes and net ecosystem exchange		\|title=WUR The Loobos ecosystem historical dataset: meteorology, turbulent fluxes and net ecosystem exchange
	\|description=This is a 25 years (1996-2021) observational dataset of meteorology, turbulent fluxes and net ecosystem exchange collected from the first tower at the Loobos site, the Netherlands (NL). The presented dataset contains six data streams, namely (1) the NL-Loo_BM stream including meteorological data: four-component radiation (radiation balance), air temperature and relative humidity, wind information, precipitation and throughfall, photosynthetic active radiation, bole temperature and soil heat flux), (2) the NL-Loo_Profile stream containing vertical profiles of CO₂ mole fraction, H₂O pressure, air temperature and relative humidity, (3) the NL-Loo_ST stream derived from the aforementioned two streams including total stored heat flux, H₂O and CO₂ fluxes below the canopy, (4) the NL-Loo_EC stream including EC measurements of CO₂ flux, sensible heat and latent heat fluxes, (5) the NL-Loo_Soil stream including vertical profiles of soil moisture and temperature and ground water level data, and (6) ancillary data including soil respiration, vegetation properties (i.e., tree height, stem width and dry aboveground biomass, Leaf Area Index, sap flow, needle foliage properties and the associated nutrient analysis) and ground water level. The data quality of these data streams is assured through standard operating procedures.		\|description=This is a 25 years (1996-2021) observational dataset of meteorology, turbulent fluxes and net ecosystem exchange collected from the first tower at the Loobos site, the Netherlands (NL). The presented dataset contains six data streams, namely (1) the NL-Loo_BM stream including meteorological data: four-component radiation (radiation balance), air temperature and relative humidity, wind information, precipitation and throughfall, photosynthetic active radiation, bole temperature and soil heat flux), (2) the NL-Loo_Profile stream containing vertical profiles of CO₂ mole fraction, H₂O pressure, air temperature and relative humidity, (3) the NL-Loo_ST stream derived from the aforementioned two streams including total stored heat flux, H₂O and CO₂ fluxes below the canopy, (4) the NL-Loo_EC stream including EC measurements of CO₂ flux, sensible heat and latent heat fluxes, (5) the NL-Loo_Soil stream including vertical profiles of soil moisture and temperature and ground water level data, and (6) ancillary data including soil respiration, vegetation properties (i.e., tree height, stem width and dry aboveground biomass, Leaf Area Index, sap flow, needle foliage properties and the associated nutrient analysis) and ground water level. The data quality of these data streams is assured through standard operating procedures.

			The data description paper can be accessed at https://doi.org/10.5194/essd-18-2023-2026.
	\|type=In-situ Observation		\|type=In-situ Observation
			\|dataLevel=Level 1
	\|format=CSV		\|format=CSV
	\|servedBy=Zenodo		\|servedBy=Zenodo
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	\|creator=Hong Zhao		\|creator=Hong Zhao
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=Meteorology, turbulent fluxes, net ecosystem exchange, Loobos, Loobos, long-term observations
	\|atLocation=Loobos		\|atLocation=Loobos
	\|hasGeographicCoordinates=52.16653N, 5.74361E		\|hasGeographicCoordinates=52.16653N, 5.74361E
	\|startDate=1994-12-31 ~~00:00:00~~		\|startDate=1994-12-31
	\|endDate=2023-5-8		\|endDate=2023-05-08
	}}		}}
	In 1995, a tower was built in the Loobos forest area in the Netherlands to measure water, heat and momentum fluxes for investigating forest evapotranspiration using the eddy covariance method. Following the Kyoto negotiations, which sought to operationalize the United Nations Framework Convention on Climate Change by committing industrialized countries and economies in transition to limit and reduce greenhouse gas emissions (https://unfccc.int/kyoto_protocol, last access: 15 December 2024). One of the key questions raised by the Kyoto Protocol was how to calculate the changes in carbon stocks associated with land use changes and forestry activity (Igbp Terrestrial Carbon Working Group, 1998). This required to also observe the carbon dioxide (CO2) balance for forest ecosystems (Valentini, 2000). Consequently, since 1996, CO2 flux measurements have been conducted in Loobos, which subsequently became one of the 17 first FLUXNET sites globally (https://fluxnet.org/data/la-thuile-dataset/lathuile-data-summary/, last access: 15 December 2024).		In 1995, a tower was built in the Loobos forest area in the Netherlands to measure water, heat and momentum fluxes for investigating forest evapotranspiration using the eddy covariance method. Following the Kyoto negotiations, which sought to operationalize the United Nations Framework Convention on Climate Change by committing industrialized countries and economies in transition to limit and reduce greenhouse gas emissions (https://unfccc.int/kyoto_protocol, last access: 15 December 2024). One of the key questions raised by the Kyoto Protocol was how to calculate the changes in carbon stocks associated with land use changes and forestry activity (Igbp Terrestrial Carbon Working Group, 1998). This required to also observe the carbon dioxide (CO2) balance for forest ecosystems (Valentini, 2000). Consequently, since 1996, CO2 flux measurements have been conducted in Loobos, which subsequently became one of the 17 first FLUXNET sites globally (https://fluxnet.org/data/la-thuile-dataset/lathuile-data-summary/, last access: 15 December 2024).

WUR CarbonTracker Europe CTE2024 fluxes

Hong Zhao — Thu, 30 Apr 2026 13:38:36 GMT

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	Please cite the paper of Friedlingstein et al., (2024, https://doi.org/10.5194/essd-2024-519) for the fluxes used. Please cite the paper of van der Laan-Luijkx et al., (2017, https://doi.org/10.5194/gmd-10-2785-2017) for the data assimilation system used.		Please cite the paper of Friedlingstein et al., (2024, https://doi.org/10.5194/essd-2024-519) for the fluxes used. Please cite the paper of van der Laan-Luijkx et al., (2017, https://doi.org/10.5194/gmd-10-2785-2017) for the data assimilation system used.
	\|type=Model Data		\|type=Model Data
			\|dataLevel=Level 2
	\|format=netCDF		\|format=netCDF
	\|servedBy=ICOS Data Portal		\|servedBy=ICOS Data Portal
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	\|creator=Ingrid Luijkx		\|creator=Ingrid Luijkx
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=CarbonTracker, Europe, CTE2024 fluxes, monthly mean flux, annually mean flux, data assimilation system, Inversions
	\|atLocation=Europe		\|atLocation=Europe
	\|startDate=2001-07-01		\|startDate=2001-07-01

WUR atmospheric CO2, O2 and δ13CO2 dataset over a tropical and a temperate forest

Hong Zhao — Thu, 30 Apr 2026 13:34:09 GMT

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	\|description=These are the datasets of the campaigns from CloudRoots and Loobos used in the paper titled 'Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest'.		\|description=These are the datasets of the campaigns from CloudRoots and Loobos used in the paper titled 'Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest'.
	\|type=In-situ Observation		\|type=In-situ Observation
			\|dataLevel=Level 1
	\|format=CSV		\|format=CSV
	\|servedBy=Zenodo		\|servedBy=Zenodo
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	\|creator=Kim Faassen		\|creator=Kim Faassen
	\|creator_organization=Wageningen University		\|creator_organization=Wageningen University
			\|hasKeywords=O2, Atmospheric CO2, Loobos, temperate forest, δ13CO2
	\|atLocation=Loobos and ATTO rainforest		\|atLocation=Loobos and ATTO rainforest
	\|hasGeographicCoordinates=52.1664 N, 5.7436 E		\|hasGeographicCoordinates=52.1664 N, 5.7436 E
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	}}		}}
	'''Note''': the coordinates for the ATTO site in the Amazon forest are: 2.1819 S, 59.0217 W		'''Note''': the coordinates for the ATTO site in the Amazon forest are: 2.1819 S, 59.0217 W

			The datasets of the campaigns were used in the paper titled "Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest" by Faassen and can be accessed at https://doi.org/10.1029/2025GL118016