All other weather data, including cloud cover, precipitation, wind speed and direction, and solar flux, come from NASA's MERRA-2 Modern-Era Retrospective Analysis . This reanalysis combines a variety of wide-area measurements in a state-of-the-art global meteorological model to reconstruct the hourly history of weather throughout the world on a 50-kilometer grid.

We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. While having the tremendous advantages of temporal and spatial completeness, these reconstructions: (1) are based on computer models that may have model-based errors, (2) are coarsely sampled on a 50 km grid and are therefore unable to reconstruct the local variations of many microclimates, and (3) have particular difficulty with the weather in some coastal areas, especially small islands.


Hong Kong Weather Data Download


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We further caution that our travel scores are only as good as the data that underpin them, that weather conditions at any given location and time are unpredictable and variable, and that the definition of the scores reflects a particular set of preferences that may not agree with those of any particular reader.

Caption: (Top) Inside the Hong Kong Observatory, scientists provide round-the-clock weather forecasting services to the public. (Bottom) Tam Hiu Ching, scientific officer and weather broadcaster at the Hong Kong Observatory, reviews meteorological data with colleagues. WHO/U. Chan

There is an app downloadable to mobile phones (PRAISE-HK) which aims to inform the user as to the quality of air in their immediate vicinity. This information will allow then to make a choice as to whether to venture outdoors or not. This app also predicts the quality of air for the next 48 hours by using data modelling and weather forecasts. It only uses data that has been verified by government officials and not merely extracted from sensors.

In order to select suitable climate parameters for area-specific annual dengue forecasting, we compared 4 models with different combinations of temperature (either monthly mean or minimum; indicated by Tmean or Tmin) and rainfall (either monthly total or maximum; indicated by Rtot or Rmax). These climate parameters were suggested by the prior studies conducted in nearby countries8,26,27, but their association with recent dengue outbreaks in Hong Kong is still unknown and the effects of rainfall on dengue spreading are mixed. Furthermore, spatial differences in the climate data were not considered when the effects of monthly climate predictors were analysed8. Thus, all the climate data within the studied years from 2002 to 2018 were retrieved from 11 weather stations and 2 automatic rainfall stations across the defined areas (white and yellow circles Fig. 1), with the averages from January to August shown in Fig. 2. In general, the highest temperatures and the highest rainfalls were recorded between June and August and after April, respectively.

This study is the first to explore the association between seasonal climate variables and dengue incidence while taking into account the spatial heterogeneity of the dengue cases in Hong Kong. After dividing Hong Kong into 3 areas, a Poisson mixed effects model was fitted using the monthly temperature and rainfall data from the early months of the year to forecast annual dengue incidence in the defined areas. Given that most of the dengue infections occurred in August and September, the model successfully predicts annual dengue incidence using seasonal weather data from the preceding months. Instead of using a distributed lag model, our approach allows us to capture the impact of the weather in each month on the annual number of dengue cases, which is more suitable for regions affected by seasonal epidemics8.

Both the daily mean temperature and the daily total rainfall from 2002 to 2018 inclusive were retrieved from the Hong Kong Observatory47. A total of 11 out of the available 49 automatic weather stations were selected to represent all districts in Hong Kong (Fig. 1). The stations were chosen as they provided the most complete temperature and rainfall data in those years; any weather stations with more than 30% missing data were excluded. The selected station with the highest number of missing data is in Tuen Mun District since it only started recording from 2007 onwards. Two additional automatic rainfall stations on the island were selected due to the incomplete rainfall data from the weather stations in Hong Kong Island. Daily weather data were then averaged across different stations in each defined area to obtain average area-specific weather data. Monthly mean (minimum) temperature is defined as the average (minimum) of the daily mean temperature while the monthly total (maximum) rainfall is defined as the total (maximum) of the daily total rainfall. In general, a strong seasonal pattern was observed among the climate parameters from 2002 to 2018 (Fig. 2). An increasing trend in monthly temperature and rainfall was observed from January until July and June, respectively.

The new online Weather Data Viewer 2021 provides climatic design information for 9,237 weather stations worldwide, including quantities such as dry-bulb temperature, dew-point temperature, wet-bulb temperature, wind speed, and wind direction at various frequencies of occurrence over a long period (8+ years) as well as access to the underlying frequency data for further analysis and visualization.

Hongkongers woke up to submerged streets, shopping malls, and metro stations on Friday following record-breaking rainfall that prompted local authorities to shut schools and businesses. Last month, local scientists warned that Hong Kong will experience heavier and more frequent extreme weather events in the future as the climate crisis deteriorates.

The weather data on this site are derived from a number of publicsources. This page contains information on each dataset (description, citation and web sitewhere appropriate, EPWs last updated, and period of record). The EPWs were produced by translating thesource data into the EPW format.

TMYx Source Data - see below for details on locations. TMYx dataset are created by the authors of this website.TMYx files are typical meteorological data derived from hourly weather data through 2021 in the ISD(US NOAA's Integrated Surface Database) using the TMY/ISO 15927-4:2005 methodologies.Currently, there are more than 16,100 TMYx locations supplied.For the 2022/2023 release (this includes full TMYx, 2007-2021 TMYx but does not include the 2004-2018TMYx), the solar data for each site has corresponding solarradiation from theERA5 reanalysis data set. The ERA5 data, courtesy ofOikolab, provides acomprehensive, worldwide gridded solar radiation data set basedon satellite data. The 2004-2018 TMYx files use cloud cover and other variables to determine the solar. ff782bc1db

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