TEAMx, DECIPHER, Monte Baldo, Distributed thermohygrometers, Raw Data (University of Trento)
Authors/Creators
-
1.
University of Trento
Description
1. Short Description of the Sensor
Temperature/humidity data logger Onset HOBO U23-001. Weatherproof data logger with built-in temperature and relative humidity sensors. The Relative Humidity sensor provides superior durability in humid environments and is user-replaceable.
All the loggers were mounted in Onset RS1 radiation shields.
1.2 Specification
Temperature Sensor
Operation range internal sensors: -40° to 70°C (-40° to 158°F)
U23-002 external temperature sensor: -40° to 70°C (-40° to 158°F)
U23-003 and U23-004 external sensors: -40° to 100°C (-40° to 212°F), with tip and cable immersion in fresh water up to
50°C (122°F) for one year
Accuracy: ±0.21°C from 0° to 50°C (±0.38°F from 32° to 122°F)
Resolution: 0.02°C at 25°C (0.04°F at 77°F); see Plot A in the manual
Response Time (typical to 90%)
U23-001 internal sensor: 40 minutes in air moving 1 m/sec
U23-002 external temperature sensor: 5 minutes in air moving 1 m/sec
U23-003 and U23-004 external sensors: 3 minutes in air moving 1 m/sec; 30 seconds in stirred water
Stability (drift): < 0.1°C (0.18°F) per year
Relative Humidity Sensor (U23-001, U23-002 only)
Operation range: 0-100% RH, -40° to 70°C (-40° to 158°F) Exposure to conditions below -20°C (-4°F) or above 95% RH
may temporarily increase the maximum RH sensor error by an additional 1%
Accuracy: ±2.5% from 10% to 90% RH (typical), to a maximum of ±3.5% including hysteresis at 25°C (77°F); below 10%
and above 90% ±5% typical
Resolution: 0.05%
Response Time (typical to 90%)
U23-001: 40 minute in air moving 1 m/sec with protective cap
U23-002: 5 minutes in air moving 1 m/sec with protective cap
Stability (drift): < 1% per year typical
Logger
Operation range: -40° to 70°C (-40° to 158°F)
Real-time clock: ± 1 minute per month 0° to 50°C (32° to 122°F)
Battery: 1/2 AA, 3.6 Volt lithium, user-replaceable (part # HP-B)
Battery life (typical use): 3 years with 1 minute or greater logging interval
Memory (non-volatile): 64K bytes memory (approx. 21,000 temperature and RH measurements)
2. Measurement Strategy during the Campaign
Six sensors were deployed within the forest canopy and anchored to trees at about 2 meters above the ground. The sensors were located along the eastern slope of Monte Baldo at different altitudes, spanning from 1169 m to 1640 m.
The choice to place the instruments within the forest canopy was driven by two reasons: first, we aimed to monitor near-surface temperature and humidity variation with height, avoiding as much as possible the influence of solar radiation; second, we wanted to monitor the conditions within the forest canopy surrounding the slope.
2.1 Description of data collection
Data were collected at the end of the campaign, following a cross-calibration check.
2.2 Time period covered by the data
The sensors were deployed on 19 June 2025 and uninstalled on 9 October 2025. After this period the sensors were cross-calibrated by leaving them close together in a room until the 13th of October. The data logging was regular during the deployment period and no data gaps have been observed. The sampling period was set at 10 minutes.
2.3 Time zone
UTC+1
2.3 Physical location
|
Number |
LAT |
LON |
Altitude |
Name |
Code |
|
1 |
45.65730662 |
10.83103226 |
1120 |
IME |
10976861 |
|
2 |
45.66443408 |
10.82602044 |
1241 |
BEND |
10976865 |
|
3 |
45.6642579 |
10.82298578 |
1327 |
VALFREDDA |
10976857 |
|
4 |
45.66854545 |
10.82021503 |
1405 |
PATH 1 |
10976866 |
|
5 |
45.66827327 |
10.81726206 |
1518 |
PATH 2 |
10976860 |
|
6 |
45.66797125 |
10.81575222 |
1592 |
PATH 3 |
10976863 |
3. Data Processing
Data was transformed from .csv to .nc format. No other data processing was carried out.
3.1 Description of derived parameters and processing techniques used
None
3.2 Description of quality assurance and control procedures
None
4. Data Format
NetCDF
4.1 Data file structure
The file contains the observations collected by the 6 dataloggers throughout the campaign.
The dataset contains the observations of temperature, relative humidity, and dewpoint for the six dataloggers following the numeration of the instruments reported in section 2.3, Physical location.
The physical location and the code of the HOBOs are also reported in the “long_name” tag of each variable.
"Temp_1":{
"units": "C",
"long_name":"Air Temperature at 1120 m a.s.l - HOBO 1 - Malga IME [45.65730662, 10.83103226]",
"height": 2,
"instrument": ID 10976861"},
"Temp_2":{
"units": "C",
"long_name":"Air Temperature at 1241 m a.s.l - HOBO 2 - BEND [45.66443408, 10.82602044]",
"height": 2,
"instrument": ID 10976865"},
"Temp_3":{
"units": "C",
"long_name":"Air Temperature at 1327 m a.s.l - HOBO 3 - Malga Val Fredda [45.6642579, 10.82298578]",
"height": 2,
"instrument": ID 10976857"},
"Temp_4":{
"units": "C",
"long_name": "Air Temperature at 1405 m a.s.l - HOBO 4 - PATH 1 [45.66854545, 10.82021503]",
"height": 2,
"instrument": ID 10976866"},
"Temp_5":{
"units": "C",
"long_name":"Air Temperature at 1518 m a.s.l - HOBO 5 - PATH 2 [45.66827327, 10.81726206]",
"height": 2,
"instrument": ID 10976860"},
"Temp_6":{
"units": "C",
"long_name":"Air Temperature at 1592 m a.s.l - HOBO 6 - PATH 3 [45.66797125, 10.81575222]",
"height": 2,
"instrument": ID 10976863"},
"RH_1":{
"units": "%",
"long_name":"Relative Humidity at 1120 m a.s.l - HOBO 1 - Malga IME [45.65730662, 10.83103226]",
"height": 2,
"instrument": ID 10976861"},
"RH_2":{
"units": "%",
"long_name":"Relative Humidity at 1241 m a.s.l - HOBO 2 - BEND [45.66443408, 10.82602044]",
"height": 2,
"instrument": ID 10976865"},
"RH_3":{
"units": "%",
"long_name":"Relative Humidity at 1327 m a.s.l - HOBO 3 - Malga Val Fredda [45.6642579, 10.82298578]",
"height": 2,
"instrument": ID 10976857"},
"RH_4":{
"units": "%",
"long_name": "Relative Humidity at 1405 m a.s.l - HOBO 4 - PATH 1 [45.66854545, 10.82021503]",
"height": 2,
"instrument": ID 10976866"},
"RH_5":{
"units": "%",
"long_name":"Relative Humidity at 1518 m a.s.l - HOBO 5 - PATH 2 [45.66827327, 10.81726206]",
"height": 2,
"instrument": ID 10976860"},
"RH_6":{
"units": "%",
"long_name":"Relative Humidity at 1592 m a.s.l - HOBO 6 - PATH 3 [45.66797125, 10.81575222]",
"height": 2,
"instrument": ID 10976863"},
"DewPt_1":{
"units": "%",
"long_name":"Dew Point at 1120 m a.s.l - HOBO 1 - Malga IME [45.65730662, 10.83103226]",
"height": 2,
"instrument": ID 10976861"},
"DewPt_2":{
"units": "%",
"long_name":"Dew Point at 1241 m a.s.l - HOBO 2 - BEND [45.66443408, 10.82602044]",
"height": 2,
"instrument": ID 10976865"},
"DewPt_3":{
"units": "%",
"long_name":"Dew Point at 1327 m a.s.l - HOBO 3 - Malga Val Fredda [45.6642579, 10.82298578]",
"height": 2,
"instrument": ID 10976857"},
"DewPt_4":{
"units": "%",
"long_name": "Dew Point at 1405 m a.s.l - HOBO 4 - PATH 1 [45.66854545, 10.82021503]",
"height": 2,
"instrument": ID 10976866"},
"DewPt_5":{
"units": "%",
"long_name":"Dew Point at 1518 m a.s.l - HOBO 5 - PATH 2 [45.66827327, 10.81726206]",
"height": 2,
"instrument": ID 10976860"},
"DewPt_6":{
"units": "%",
"long_name":"Dew Point at 1592 m a.s.l - HOBO 6 - PATH 3 [45.66797125, 10.81575222]",
"height": 2,
"instrument": ID 10976863"}
}
5. Data Remarks
The installation of the sensors lasted a few hours on 19 June 2025. Use data starting from 20 June 2025.
5.1 Known missing data periods
None
5.2 Software compatibility
Any software that can read NetCDF files.
Technical info
1. Data Sharing Policy within DECIPHER
1.1 Data Types
Two data types are envisioned, namely Raw Data and Processed Data. The submission of both data types is not mandatory.
-
"Raw Data" consists of the dataset as measured by the sensor. Data manipulation by the curators must be kept to a minimum, i.e., converting the file format and including metadata. Curators must include the tag "Raw Data" in the title of the dataset to refer to this data type.
-
"Processed Data" consists of the dataset after manipulation through a documented, literature-compliant procedure of data processing, including data cleaning, quality control, and averaging. The procedure must be documented in the dataset description page. Curators must include the tag "Processed Data" in the title of the dataset to refer to this data type.
1.2 Internal Use
Datasets will be initially accessible only to the partners who contributed measurements on Monte Baldo. The agreement between partners for the usage of other’s datasets is to propose coauthorship to the respective owners.
The requirements for public data use depend on the level of data processing, whether raw or processed:
- The use of "Raw Data" by the project consortium is bound to a proper crediting of the dataset, using the reference reported on the dataset page. For the first 6 months after the dataset's publication, co-authorship proposals must be made to the data owners. Beyond this initial period, co-authorship is no longer mandatory, but users are encouraged to offer it to the curators.
- The use of "Processed Data" by the project consortium is bound to a proper crediting of the dataset, using the reference reported on the dataset page. Users of the processed data must offer co-authorship to the data curators.
2. Data Sharing and Public Data Use within TEAMx
Complying with the TEAMx data management plan:
“Any use of TEAMx data products, during or after the embargo period, must include an acknowledgement (i.e., citation) of the source and the data provider.
Data users must inform the respective data providers if a data product is to be shared with other parties via journal articles, presentations, and research proposals. If the data product constitutes a substantial part of the work, the data provider should be offered co-authorship and the opportunity to collaborate (both during and after the embargo period). In the case of co-authorship, an additional acknowledgement of the data provider is not required.”
3. Acknowledgment
The recommended formula for the attribution of the dataset is the following, and is mandatory in all cases:
The [description of the data product] was collected/produced as part of the TEAMx programme and provided by [name of the data provider, institution of data provider]. [name of the data provider]’s contribution to TEAMx was supported by: (i) the PRIN2022 - DECIPHER project, funded by the European Union - Next Generation EU, Mission 4 Component 2, Prot. n. 2022NEWP4J - CUP: E53D23004450006, J53D23002810006 and B53D23007350006; (ii) the strategic partnership SPACE IT UP!, funded by the Italian Space Agency and the Ministry of University and Research, Contract n. 2024-5-E.0 - CUP: I53D24000060005; (iii) the consortium iNEST-Interconnected Nord-Est Innovation Ecosystem, funded by the European Union - Next Generation EU (PNRR, Mission 4.2, Investment 1.5, project no. ECS00000043, CUP: E63C22001030007) [add any project funding personal research within teamx]. The data are archived at [name of data repository] and are accessible at [URL/DOI of data product].
Files
Files
(1.2 MB)
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|---|---|---|
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md5:35ad0fd85f0b87f0de0b8b453d00d599
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Additional details
Related works
- Is described by
- Other: https://sites.google.com/unitn.it/decipherproject/home-page (URL)
Funding
- Ministero dell'università e della ricerca
- PRIN2022 - DECIPHER 2022NEWP4J
- Agenzia Spaziale Italiana
- SPACE IT UP I53D24000060005
- Ministero dell'università e della ricerca
- iNest - Interconnected Nord-Est Innovation Ecosystem ECS00000043
References
- Doglioni G, Barbano F, Barbaro E, Bracci A, Brun C, Cairns WRL, Carpentari S, Cassiani M, Conen F, Cozzi G, Di Felice Fabrizi C, Di Liberto L, Di Girolamo P, Dionisi D, Di Paolantonio M, Di Sabatino S, Einbock A, Finco A, Gerosa G, Giovannini L, Marzuoli R, Nardon C, Njimongbet A, Pasqualini F, Philippot N, Plebani D, Poggi D, Porcù F, Rajput A, Rossetti C, Sankar MS, Summa D, Dallo F, Biasuzzi B, Gianessi S, Vendrame N, Zardi D. Disentangling mechanisms controlling atmospheric transport and mixing processes over mountain areas at different space- and timescales - the field campaign of the project DECIPHER. Submitted to BAMS