37 citations as recorded by crossref.

1. A deep learning pipeline for rainfall estimation from surveillance audio M. Fiallos-Salguero et al.
2. Probabilistic modelling of atmosphere–surface coupling with a copula Bayesian network L. Mack et al.
3. Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium E. Beele et al.
4. Ensemble‐based statistical interpolation of atmospheric variables near the surface C. Lussana et al.
5. Machine learning-based tsunami inundation prediction derived from offshore observations I. Mulia et al.
6. Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al.
7. CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al.
8. Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation C. Lussana et al.
9. Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France A. Demortier et al.
10. Evaluation of city-scale PALM model simulations and intra-urban thermal variability in Vienna, Austria using operational and crowdsourced data M. Žuvela-Aloise et al.
11. Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks S. Amini et al.
12. Unlocking crop protection models for decision support: web infrastructure and integration H. Huitu et al.
13. Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations M. Varentsov et al.
14. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al.
15. Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods D. van Beekvelt et al.
16. High-Resolution Air Temperature Forecasts in Urban Areas: A Meteorological Perspective on Their Added Value S. Oswald et al.
17. “Come as you are”: Reconsidering the need for complex quality control when gridding crowd‐sourced weather data J. de Baar & G. van der Schrier
18. Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks K. Ośródka et al.
19. Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al.
20. A machine learning approach using autoencoders to perform quality control on meteorological data T. Spohn et al.
21. Comparison of temperature and humidity measurements from two separate weather stations at Camden Airport, Australia M. Riley & A. Rea
22. Observations from Personal Weather Stations—EUMETNET Interests and Experience C. Hahn et al.
23. From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al.
24. Using machine learning to produce a very high resolution land-cover map for Ireland E. Walsh et al.
25. Quality management system and design of an integrated mesoscale meteorological network in Central Italy L. Silvestri et al.
26. The importance of crowdsourced observations for urban climate services T. Mitchell & M. Fry
27. A Quality Control Method Applicable to Precipitation at Hydrological Rainfall Stations 莉. 赵
28. Assessing the Trustworthiness of Crowdsourced Rainfall Networks: A Reputation System Approach A. Chen et al.
29. Exploratory analysis of citizen observations of hourly precipitation over Scandinavia C. Lussana et al.
30. MetObs - a Python toolkit for using non-traditional meteorological observations T. Vergauwen et al.
31. The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al.
32. Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates J. Nielsen et al.
33. Personal weather stations in hydrology and meteorology: a review of applications, challenges and future directions P. Mazzoglio et al.
34. Have you ever seen the rain? Observing a record convective rainfall with national and local monitoring networks and opportunistic sensors L. Petersson Wårdh et al.
35. Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al.
36. Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany M. Plein et al.
37. Areal reduction factors from gridded data products J. Lutz et al.