{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T12:36:54Z","timestamp":1774528614418,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T00:00:00Z","timestamp":1611273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Affordable and accurate weather monitoring systems are essential in low-income and developing countries and, more recently, are needed in small-scale research such as precision agriculture and urban climate studies. A variety of low-cost solutions are available on the market, but the use of non-standard technologies raises concerns for data quality. Research-grade all-in-one weather stations could present a reliable, cost effective solution while being robust and easy to use. This study evaluates the performance of the commercially available ATMOS41 all-in-one weather station. Three stations were deployed next to a high-performance reference station over a three-month period. The ATMOS41 stations showed good performance compared to the reference, and close agreement among the three stations for most standard weather variables. However, measured atmospheric pressure showed uncertainties &gt;0.6 hPa and solar radiation was underestimated by 3%, which could be corrected with a locally obtained linear regression function. Furthermore, precipitation measurements showed considerable variability, with observed differences of \u00b17.5% compared to the reference gauge, which suggests relatively high susceptibility to wind-induced errors. Overall, the station is well suited for private user applications such as farming, while the use in research should consider the limitations of the station, especially regarding precise precipitation measurements.<\/jats:p>","DOI":"10.3390\/s21030741","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T11:13:53Z","timestamp":1611314033000},"page":"741","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6973-8159","authenticated-orcid":false,"given":"Olga","family":"Dombrowski","sequence":"first","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0004-8114","authenticated-orcid":false,"given":"Harrie-Jan","family":"Hendricks Franssen","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4597-7045","authenticated-orcid":false,"given":"Cosimo","family":"Brogi","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9974-6686","authenticated-orcid":false,"given":"Heye Reemt","family":"Bogena","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,22]]},"reference":[{"key":"ref_1","unstructured":"(2020, November 10). World Meteorological Organization: The Global Observing System for Climate: Implementation Needs. Available online: https:\/\/library.wmo.int\/doc_num.php?explnum_id=3417."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"100040","DOI":"10.1016\/j.deveng.2018.100040","article-title":"Towards a robust and affordable Automatic Weather Station","volume":"4","author":"Nsabagwa","year":"2019","journal-title":"Dev. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Pietrosemoli, E., Rainone, M., and Zennaro, M. (2019). On Extending the Wireless Communications Range of Weather Stations using LoRaWAN. GoodTechs\u201919: EAI International Conference on Smart Objects and Technologies for Social Good, Valencia, Spain, 25\u201327 September 2019, ACM.","DOI":"10.1145\/3342428.3342660"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Tiepolo, M., Pezzoli, A., and Tarchiani, V. (2017). Setting up and Managing Automatic Weather Stations for Remote Sites Monitoring: From Niger to Nepal. Renewing Local Planning to Face Climate Change in the Tropics, Springer International Publishing. Green Energy and Technology.","DOI":"10.1007\/978-3-319-59096-7"},{"key":"ref_5","unstructured":"(2020, November 15). WMO: Progress\/Activity Reports Presented at CBS-XIV (Unedited). Available online: https:\/\/library.wmo.int\/doc_num.php?explnum_id=5515."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"de la Concepcion, A.R., Stefanelli, R., and Trinchero, D. (2015, January 25\u201328). Ad-hoc multilevel wireless sensor networks for distributed microclimatic diffused monitoring in precision agriculture. Proceedings of the 2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), San Diego, CA, USA.","DOI":"10.1109\/WISNET.2015.7127408"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Tenzin, S., Siyang, S., Pobkrut, T., and Kerdcharoen, T. (2017, January 1\u20134). Low cost weather station for climate-smart agriculture. Proceedings of the 2017 9th International Conference on Knowledge and Smart Technology (KST), Chonburi, Thailand.","DOI":"10.1109\/KST.2017.7886085"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Watthanawisuth, N., Tuantranont, A., and Kerdcharoen, T. (2009, January 25\u201328). Microclimate real-time monitoring based on ZigBee sensor network. Proceedings of the 2009 IEEE Sensors, Christchurch, New Zealand.","DOI":"10.1109\/ICSENS.2009.5398587"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1177\/0143624410394518","article-title":"Improving the microclimate in urban areas: A case study in the centre of Athens","volume":"32","author":"Gaitani","year":"2011","journal-title":"Build. Serv. Eng. Res. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1002\/wea.1998","article-title":"Showcasing urban heat island work in Birmingham-measuring, monitoring, modelling and more","volume":"68","author":"Tomlinson","year":"2013","journal-title":"Weather"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1016\/j.comnet.2008.04.002","article-title":"Wireless sensor network survey","volume":"52","author":"Yick","year":"2008","journal-title":"Comput. Netw."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Lopez, J.C.B., and Villaruz, H.M. (2015, January 9\u201312). Low-cost weather monitoring system with online logging and data visualization. Proceedings of the 2015 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Cebu City, Philippines.","DOI":"10.1109\/HNICEM.2015.7393170"},{"key":"ref_13","first-page":"274","article-title":"Wireless arduino based weather station","volume":"5","author":"Katyal","year":"2016","journal-title":"Int. J. Adv. Res. Comput. Commun. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Saini, H., Thakur, A., Ahuja, S., Sabharwal, N., and Kumar, N. (2016, January 11\u201312). Arduino based automatic wireless weather station with remote graphical application and alerts. Proceedings of the 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India.","DOI":"10.1109\/SPIN.2016.7566768"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Savi\u0107, T., and Radonji\u0107, M. (2015, January 24\u201326). One approach to weather station design based on Raspberry Pi platform. Proceedings of the 2015 23rd Telecommunications Forum Telfor (TELFOR), Belgrade, Serbia.","DOI":"10.1109\/TELFOR.2015.7377544"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kapoor, P., and Barbhuiya, F.A. (2019, January 17\u201320). Cloud Based Weather Station using IoT Devices. Proceedings of the TENCON 2019-2019 IEEE Region 10 Conference (TENCON), Kochi, India.","DOI":"10.1109\/TENCON.2019.8929528"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"024008","DOI":"10.1088\/1361-6501\/aa97fb","article-title":"Development and evaluation of an open-source, low-cost distributed sensor network for environmental monitoring applications","volume":"29","author":"Gunawardena","year":"2018","journal-title":"Meas. Sci. Technol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Aponte-Roa, D.A., Montalvan, L.B., Velazquez, C., Espinoza, A.A., Velazquez, L.F., and Serrano, R. (2018, January 14\u201317). Evaluation of a low-cost, solar-powered weather station for small-scale wind farm site selection. Proceedings of the 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, USA.","DOI":"10.1109\/I2MTC.2018.8409853"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3185","DOI":"10.1002\/joc.4210","article-title":"Crowdsourcing for climate and atmospheric sciences: Current status and future potential","volume":"35","author":"Muller","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_20","unstructured":"(2020, November 02). Climatronics Corporation: All-In-One (AIO) Weather Sensor. Available online: http:\/\/www.climatronics.com\/Products\/Weather-Station-Systems\/AIO_compact_weather_station.php."},{"key":"ref_21","unstructured":"(2020, November 02). Gill MaxiMet GMX600 Compact Weather Station. Available online: http:\/\/www.gillinstruments.com\/data\/datasheets\/1957-010%20Maximet-gmx600%20Iss%208.pdf."},{"key":"ref_22","unstructured":"(2020, November 02). Environmental Expert: WeatherHawk-Model 620-Wireless Weather Station. Available online: https:\/\/www.environmental-expert.com\/products\/weatherhawk-model-620-wireless-weather-station-302957."},{"key":"ref_23","unstructured":"Warne, J. (2017). Editor Guidelines on Economical Alternative AWS. Commission for Instruments and Methods of Observation: Joint Session of the Expert Team on Operational In Situ Technologies (ET-OIST) and the Expert Team on Developments in In Situ Technologies (ET-DIST), WMO."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"107833","DOI":"10.1016\/j.fcr.2020.107833","article-title":"Maize production under combined Conservation Agriculture and Integrated Soil Fertility Management in the sub-humid and semi-arid regions of Kenya","volume":"254","author":"Mutuku","year":"2020","journal-title":"Field Crops Res."},{"key":"ref_25","unstructured":"(2020, November 01). TAHMO. Available online: https:\/\/tahmo.org\/."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1002\/wat2.1034","article-title":"The Trans-African Hydro-Meteorological Observatory (TAHMO): The Trans-African Hydro-Meteorological Observatory","volume":"1","author":"Hut","year":"2014","journal-title":"Wiley Interdiscip. Rev. Water"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Brito, T., Pereira, A.I., Lima, J., and Valente, A. (2020). Wireless Sensor Network for Ignitions Detection: An IoT approach. Electronics, 9.","DOI":"10.3390\/electronics9060893"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Valente, A., Silva, S., Duarte, D., Cabral Pinto, F., and Soares, S. (2020). Low-Cost LoRaWAN Node for Agro-Intelligence IoT. Electronics, 9.","DOI":"10.3390\/electronics9060987"},{"key":"ref_29","unstructured":"Jencso, K., Hyde, K., Bocinsky, K., and Hoylman, Z.H. (2019, January 1). The Montana Mesonet-a Nascent Wireless Network in the Upper Missouri River Basin. Proceedings of the AGU Fall Meeting Abstracts, San Francisco, CA, USA."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Mohamed, A.Z., Osroosh, Y., Peters, T.R., Bates, T., Campbell, C.S., and Ferrer-Alegre, F. (2019, January 7\u201310). Morning crop water stress index as a sensitive indicator of water status in apple trees. Proceedings of the 2019 ASABE Annual International Meeting, Boston, MA, USA.","DOI":"10.13031\/aim.201900577"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s10333-020-00818-3","article-title":"Simulation of water temperature in paddy fields by a heat balance model using plant growth status parameter with interpolated weather data from weather stations","volume":"19","author":"Xie","year":"2021","journal-title":"Paddy Water Environ."},{"key":"ref_32","unstructured":"(2020, December 04). METER: Scientific Weather Station Performance Data and Weather Sensor Comparisons. Available online: https:\/\/www.metergroup.com\/environment\/articles\/weather-sensor-comparison-scientific-weather-station-performance-data-2\/."},{"key":"ref_33","unstructured":"Anand, M., and Molnar, P. (2018). Performance of TAHMO Zurich Weather Station, Institute of Environmental Engineering, D-Baug."},{"key":"ref_34","unstructured":"Khalil, A. (2020, October 13). Email correspondance with Ayman Khalil from METER Europe Support (support.europe@metergroup.com). Available online: https:\/\/www.metergroup.com\/contact\/."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.agrformet.2012.05.012","article-title":"The carbon budget of a winter wheat field: An eddy covariance analysis of seasonal and inter-annual variability","volume":"165","author":"Schmidt","year":"2012","journal-title":"Agric. For. Meteorol."},{"key":"ref_36","unstructured":"(2020, November 06). ICOS: Selhausen (C1). Available online: http:\/\/www.icos-infrastruktur.de\/en\/icos-d\/komponenten\/oekosysteme\/beobachtungsstandorte\/selhausen-c1\/."},{"key":"ref_37","unstructured":"World Meteorological Organization (2008). Guide to Instruments and Methods of Observation (WMO No. 8), WMO. [7th ed.]."},{"key":"ref_38","unstructured":"Laurent, O. (2017). ICOS Atmospheric Station Specifications, ICOS."},{"key":"ref_39","unstructured":"Brus, M., Vesala, T., Juurola, E., and Kaukolehto, M. (2013). Stakeholders Handbook, ICOS."},{"key":"ref_40","unstructured":"(2020, November 01). TERENO-Terrestrial Environmental Observatories. Available online: https:\/\/www.tereno.net."},{"key":"ref_41","unstructured":"METER Group, I.U. (2017). ATMOS41 User Manual, METER Group."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1111\/j.2005.0906-7590.04112.x","article-title":"The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance","volume":"28","author":"Walther","year":"2005","journal-title":"Ecography"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Ruiz, G., and Bandera, C. (2017). Validation of Calibrated Energy Models: Common Errors. Energies, 10.","DOI":"10.3390\/en10101587"},{"key":"ref_44","unstructured":"(2021, January 11). Niederschlag: Vielj\u00e4hrige Mittelwerte 1981\u20132010; Station Juelich (Forsch.-Anlage). Available online: https:\/\/www.dwd.de\/DE\/leistungen\/klimadatendeutschland\/mittelwerte\/nieder_8110_fest_html.html?view=nasPublication&nn=16102."},{"key":"ref_45","first-page":"W01420:1","article-title":"Challenges in obtaining reliable measurements of point rainfall","volume":"43","author":"Sieck","year":"2007","journal-title":"Water Resour. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1175\/1520-0426(1999)016<0450:EOWIEO>2.0.CO;2","article-title":"Estimation of wind-induced error of rainfall gauge measurements using a numerical simulation","volume":"16","author":"Sevruk","year":"1999","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.jhydrol.2011.02.031","article-title":"Guidelines on validation procedures for meteorological data from automatic weather stations","volume":"402","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_48","unstructured":"Sevruk, B., and Klemm, S. (1989). Catalogue of National Standard Precipitation Gauges, World Meteorological Organization."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.5194\/hess-21-1973-2017","article-title":"The quantification and correction of wind-induced precipitation measurement errors","volume":"21","author":"Kochendorfer","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1175\/JHM-D-15-0010.1","article-title":"The collection efficiency of shielded and unshielded precipitation gauges. Part I: CFD airflow modeling","volume":"17","author":"Colli","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_51","unstructured":"(2020, October 22). DWD. Available online: https:\/\/www.dwd.de\/DE\/service\/lexikon\/Functions\/glossar.html?lv2=101812&lv3=101906."},{"key":"ref_52","unstructured":"Ammann, S.K. (1994). Ultrasonic Anemometer, U.S. Patent and Trademark Office."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/3\/741\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:13:59Z","timestamp":1760159639000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/3\/741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,22]]},"references-count":52,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["s21030741"],"URL":"https:\/\/doi.org\/10.3390\/s21030741","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,22]]}}}