Resources

AWESOME-DIY-WX

  • a compendium of resources for low-cost weather stations, IoT data portals and platforms and other resources: iotwx/awesome-diy-wx

STATION DESIGNS AND INSPIRATION

3D-Printed Stations

Raspberry Pi-based Weather Stations

  • SkyWeather: a Raspberry Pi weather station kit for the cloud based on the PiWeather board and Blynk.io.

  • [RasperryWeather.com]()

POSTERS

Ameko, A., Foust, E., Maull, K., Lauer, AJ, Daniels, M. (2019). Connecting Models and Observations: Merging 3D-PAWS and Raspberry Pi-WRF Software Applications. Poster. 10.6084/m9.figshare.82603.v1

PAPERS

  • Kodali, R. K., & Mandal, S. (2016, December). IoT based weather station. In 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) (pp. 680-683). IEEE. [pdf]

  • Kucera, Paul, and Martin Steinson. (2017). Development of Innovative Technology to Provide Low-Cost Surface Atmospheric Observations in Data Sparse Regions. EGU General Assembly Conference Abstracts. Vol. 19. [pdf]

  • Lagouvardos, K., Kotroni, V., Bezes, A., Koletsis, I., Kopania, T., Lykoudis, S., … & Vougioukas, S. (2017). The automatic weather stations NOANN network of the National Observatory of Athens: operation and database. Geoscience Data Journal, 4(1), 4-16. [pdf]

  • Smallwood, David John, and Rachel Santarsiero. “Evaluating 3D Printed Alternatives to Weather Monitoring.” (2018). Worcester Polytechnical Institution Major Qualifying Project Report. [pdf]

  • Sarkar, I., Pal, B., Dutta, A., & Roy, S. (2018). Wi-Fi Based Portable Weather Station for Monitoring Temperature, Relative Humidity, Pressure, Precipitation, Wind Speed and Direction. In International Conference on ICT for Sustanable Development (ICT4SD), India. [pdf]

  • Morón, C., Diaz, J., Ferrández, D., & Saiz, P. (2018). Design, Development and Implementation of a Weather Station Prototype for Renewable Energy Systems. Energies, 11(9), 2234. [pdf]

  • Kurnaz, S., & Salim, L. M. (2019). Wireless Sensor Network (WSN) Predictable Weather Station. [pdf]

DATASETS

  • Maull, Keith; Ameko, Agbeli; Salas, Katalina; Humphries, Jonathan; Wagena, Moges; Easton, Zachary (2019): 3DPAWS Mauna Loa Dataset August 2018-January 1, 2019. figshare. Dataset. doi: 10.6084/m9.figshare.7707518.v2

OTHER RESOURCES