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The Hong Kong Polytechnic University
                    Department of Land Surveying and Geo-Informatics
                                                                            LSGI4321
                                                                          09155183D

  As a GIT consultant, you are instructed by Hong Kong Observatory to
review their homepage on weather for the public. Please critically review
 the strength and limitations of the technologies employed and suggest
                      improvements in GIT aspect.


A. Background
   Weather informationsuch as temperature, rainfall, humidity, air pressure, wind
   speed and direction, are highly correlated with spatial and temporal data. To
   store, analysis and present these data,Geographic Information System (GIS) is an
   efficient and reliable platform.


   Hong Kong Observatory (HKO) has been adoptingGeographic Information System
   (GIS)to processing meteorological and other geophysical data spatially, and
   presenting them ongeographical displays for both internal analysis and external
   service delivery(Lee, 2007) from 1980s.Therefore, the public weather services
   such as weather warnings and forecasts can be enhanced by making use of GIS
   technologies. As a result, the public can get a better understanding of the
   current weather situation through the homepage of Hong Kong Observatory.

B. Introduction of technologies employed by HKO
   Numerical Weather Prediction (NWP)
   Since 1980s, the Hong Kong Observatory has been using numerical weather
   prediction (NWP) to forecast weather. For the numerical weather prediction
   (NWP), a set of equations of a numerical model that describes the evolution of
   the atmosphere is solved by a high-speed computer.The meteorological
   parameters considered by the numerical model include temperature, wind,
   pressure and moisture content.(HKO, 2010)


   The numerical model represents the atmosphere by a three-dimensional grid set
   up by systemically arranged points with the values of the meteorological
   parameters. The larger the set of grid points, the finer the model resolution and
   more details in the future state of the atmosphere can be describe, but the
   computational demand is also higher.(HKO, 2010)


   For forecasting large-scale weather systems such as surges of the winter
   monsoon, the Hong Kong Observatory adopted the numerical weather prediction
The Hong Kong Polytechnic University
                  Department of Land Surveying and Geo-Informatics
                                                                         LSGI4321
                                                                       09155183D

  models of the European Centre for Medium Range Weather Forecasts and the
  United Kingdom Meteorological Office received in the form of grid point values
  via the Global Telecommunication System, as well as the numerical weather
  prediction products from the Japan Meteorological Agency (JMA). (HKO, 2011)


  For short-range forecast, the Hong Kong Observatory runs an Operational
  Regional Spectral Model (ORSM) from the Japan Meteorological Agency (JMA) on
  a high speed computer. This spectral model has a resolution of 20 km and
  produces forecasts up to 48 hours. (HKO, 2010)


  Since 2010, the Non-Hydrostatic Model (NHM) implemented by the Hong Kong
  Observatory (HKO)has been running by a high-speed computer cluster, the NWP
  Integrated Computing Environment (NICE) to coverthe lower end of the
  mesoscale weather systems. And mesoscale weather systems refer to weather
  systems with horizontal scales ranging from a few to several hundred
  kilometers.The Non-Hydrostatic Model (NHM) has horizontal resolutions of 2 km
  for inner domainand 10 km for outer domain.(HKO, 2010)

C. Strengths of technologies employed by HKO
  With increased computer speed and memory resources, a fine resolution of 2 km
  by 2 km grids with a short analysis time can be provided by the Non-Hydrostatic
  Model (NHM) implemented by the Hong Kong Observatory (HKO). Such a small
  grid size can allow a higher resolution and more details model. Moreover, the
  accuracy of the model can be enhanced. The 10-km NHM is run eight times a day
  to generate 72 hour forecasts and the 2-km NHM is run every hour to generate
  15 hour forecasts. Prognostic weather charts and other post-processed products
  are made available to forecasters as early as 1 hour and 3 hours after analysis
  time for 2-km NHM and 10-km NHM respectively.Therefore, more timely and
  detailed objective guidance for formulating weather forecasts and time-critical
  warnings of inclement weather can be provided.(HKO, 2010)


  With the data supported by the analysis of the non-hydrostatic model, the Hong
  Kong Observatory has implemented a spatial weather information service called
  “Digital Weather Forecast”. It presents weather forecast in fine spatial and
  temporal resolution.(TONG, 2011)


  There are two types of forecast products, forecast map and time series provided
The Hong Kong Polytechnic University
                   Department of Land Surveying and Geo-Informatics
                                                                             LSGI4321
                                                                           09155183D

  by the Digital Weather Forecast. For the forecast time series, the forecast time
  charts of a specific region of a grid size 10 km x 10 km in Hong Kong can be
  produced. It can show the time variation of various weather elements such as
  temperature, wind and relative humidity within three days.For the forecast map,
  the data in each grid box, about 10 km x 10 km in size, on the map shows the
  general weather situation over the region as forecast by the model.It can show
  the variation of various weather elements such as temperature, wind and relative
  humidity within three days graphically.Both of the two products are updated
  twice a day, hence, a updated graphical representation of weather forecast can
  be reviewed by the public through the homepage of the Hong Kong Observatory
  easily.


D. Limitations of technologies employed by HKO
  Firstly, for the products of “Digital Weather Forecast” implemented by the Hong
  Kong Observatory, the smallest grid size for data analysis is 10 km X 10 km. The
  value of various weather elements such as temperature, wind and relative
  humidity in each grid on the map shows the general weather situation over the
  region as forecast by the model.


  However, as each grid box is relatively large which is about 10 km X 10 km, it may
  comprise a wide range of geographic characteristics such as land mass, sea
  surface, hill and valley. Therefore, the weather conditions described by the
  products may be not fine in resolution and different from those recorded at
  individual weather stations within the grid box and the weather forecasts issued
  by the Observatory.(HKO, 2011)


  For that reason, as limited by the resolution of the numerical model, the “Digital
  Weather Forecast”is only suitable for overviewing the general weather condition
  of a relatively large area, but not accurate to preview the weather of a specific
  place or a relatively small area, for example, a housing estate.Therefore, it might
  not useful for the user to find the weather condition of his current position by
  using the “Digital Weather Forecast”.


  Secondly, the forecast map generated by the “Digital Weather Forecast”only
  contains the map with the outline of Hong Kong andlegend showing the value of
  various weather elements such as temperature, wind and relative humidity. It is
The Hong Kong Polytechnic University
                   Department of Land Surveying and Geo-Informatics
                                                                           LSGI4321
                                                                         09155183D

  lack of the geographic information of the map, for examples, the road features
  with their names, the building features with their names, the names of the
  districts and location, and so on. Moreover, the scale of the map is fixed and
  relatively small where the area of the map has also including the Pearl River
  Delta.


  However, the weather forecast of the Pearl River Delta may not necessary for the
  majority of local users.The more detail in the map of Hong Kong maybe more
  appreciated. Furthermore, for those map users who are not familiar with the
  location of district and places in Hong Kong, they may have to spend more time
  onreferring to a general map to find a specific location on the forecast map
  produced by the “Digital Weather Forecast”.Therefore, the forecast map may not
  be convenient and user-friendly for the intermediate map users.


  The last but not least, the Numerical Weather Prediction model (NWP) adopted
  by Hong Kong Observatory do not consider the 3-D urban model.However, urban
  areas have many ‘roughness’ elements such as buildings, trees, masts, street
  furniture andvehicles. As the wind blows over urban areas, the air interacts with
  these roughness elements andresponds according to their size, shape, layout and
  distribution. (Evans, 2009)These interactions have great impact on the weather
  forecast, especially for the urban area like Hong Kong.


  However, the Hong Kong Observatory does not take these urban elements into
  account. Therefore, the analyzed result for the weather forecast maybe not
  accurate and reliable and different from the weather information recorded at the
  individual weather stations of the Hong Kong Observatory.


E. Suggested Improvements
  In order to increase the detail of the map productfromthe “Digital Weather
  Forecast”, the Hong Kong Observatory can utilize the existing Non-Hydrostatic
  Model (NHM)of grid size 2 km X 2 km which is implemented by itself, instead of
  the Non-Hydrostatic Model (NHM) of grid size 10 km X 10 km. If the grid size of
  the numerical weather prediction model is decreased, the resolution of the
  weather forecast map can be increased.


  The area represented by one grid can be reduced greatly from 100 km sq. to 4 km
The Hong Kong Polytechnic University
                 Department of Land Surveying and Geo-Informatics
                                                                         LSGI4321
                                                                       09155183D

sq. As less geographic characteristics such as land mass, sea surface, hill and
valley would be include in a smaller grid, the expected variation of weather
conditions such as temperature and relative humidity within a grid box would be
smaller and closer to the actual values. Therefore, the overall accuracy of
products from the “Digital Weather Forecast” can be enhanced and it is possible
to preview the weather of a specific place or a relatively small area.


Moreover, the “Digital Weather Forecast” can be associated with the geographic
information. The data of the “Digital Weather Forecast”is in the format of Open
GIS standard KML 2.0 where KML stands for Keyhole Markup Language. There are
a number of KML-supported GIS display software packages. Users can choose the
appropriate software such as Google Earth according to their own needs.
Through GIS display software, users can zoom in, zoom out, animate and overlay
other geographic information on the weather forecast maps to better appreciate
the weather conditions in their area of interest.(HKO, 2011)


As a result, the products from the “Digital Weather Forecast” can become a
multi-scale digital forecast map.The map user can search the information of
weather forecast and other geographical information of any point on map easily
in the homepage of the Hong Kong Observatory. The forecast map would be
more user-friendly.


To forecast weather accurately, the interaction between meteorology and the
urban environment can be modeled. The numerical weather prediction model
used by the Hong Kong Observatory is grid-based which is using a regular grid
with each cell resenting a value, such as temperature, air pressure and so-on.
And the 3-D city models are usually vector based. 3-D city model can be taken
and developed to create input data for a numerical weather prediction
model.(Evans, 2009)


Although constructing and maintaining a 3-D city model with fine details for Hong
Kong is costly and time-consuming, the detailed spatial analysis can be carried
out and the quality of the weather forecast can be ensured. In the data analysis,
the interaction between the urban environment and the numerical weather
prediction models can be took into account. Therefore, the analyzed result of the
weather forecasting would be more reliable than the conventional method of
Hong Kong Observatory that only considers the numerical weather prediction
The Hong Kong Polytechnic University
                     Department of Land Surveying and Geo-Informatics
                                                                              LSGI4321
                                                                            09155183D

   models.

F. Conclusion
The Hong Kong Observatory has provided many useful public services of issuing
weather warnings and forecasts by using the Geographic Information System (GIS)
technology on its homepage. It has been developed and enhanced spatial weather
information services such as “Digital Weather Forecast” for the public and special
users with a view to supporting their decision-making in relation to weather-sensitive
activities (TONG, 2011) .


However, there are some weak points in these services, for examples, the accuracy
and user-friendliness. As the “Digital Weather Forecast” provided is in beta-version,
it can look forward to the improvement on it, as well as other weather services which
are making use of GIS technologies, in the near future.
The Hong Kong Polytechnic University
                    Department of Land Surveying and Geo-Informatics
                                                                            LSGI4321
                                                                          09155183D


Reference
Evans, S. (2009). 3D cities and numeriacal weather prediction models: A overview of
the methods used in the LUCID project. London: Centre for Advanced Spatial Analysis
University College.
HKO. (2011, 11 3). Digital Weather Forecast. Retrieved 11 3, 2011, from Hong Kong
Observatory: http://www.hko.gov.hk/dfs/main/dfs_tt_e.html
HKO. (2010, 9 30). Mesoscale Model. Retrieved 11 3, 2011, from Hong Kong
Observatory: http://www.hko.gov.hk/nhm/mesomodel_e.htm
HKO. (2011, 8 15). Numerical Weather Prediction Models. Retrieved 11 3, 2011, from
Hong Kong Observatory: http://www.hko.gov.hk/aviat/amt_e/nwp_e.htm
Lee, L. (2007). GIS and LBS Applications in the Delivery of Weather and Geophysical
Services in Hong Kong. Hong Kong: Hong Kong Observatory.
TONG, Y.-f. (2011). Recent Development of Location-based and Spatial Weather
Information Services by the Hong Kong Observatory. 7th Annual Seminar on Spatial
Information Science and Technology (p. 3). Hong Kong: Department of Land
Surveying and Geo-Informatics of the Hong Kong Polytechnic University.

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HKO homepage weather review and GIT improvements

  • 1. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D As a GIT consultant, you are instructed by Hong Kong Observatory to review their homepage on weather for the public. Please critically review the strength and limitations of the technologies employed and suggest improvements in GIT aspect. A. Background Weather informationsuch as temperature, rainfall, humidity, air pressure, wind speed and direction, are highly correlated with spatial and temporal data. To store, analysis and present these data,Geographic Information System (GIS) is an efficient and reliable platform. Hong Kong Observatory (HKO) has been adoptingGeographic Information System (GIS)to processing meteorological and other geophysical data spatially, and presenting them ongeographical displays for both internal analysis and external service delivery(Lee, 2007) from 1980s.Therefore, the public weather services such as weather warnings and forecasts can be enhanced by making use of GIS technologies. As a result, the public can get a better understanding of the current weather situation through the homepage of Hong Kong Observatory. B. Introduction of technologies employed by HKO Numerical Weather Prediction (NWP) Since 1980s, the Hong Kong Observatory has been using numerical weather prediction (NWP) to forecast weather. For the numerical weather prediction (NWP), a set of equations of a numerical model that describes the evolution of the atmosphere is solved by a high-speed computer.The meteorological parameters considered by the numerical model include temperature, wind, pressure and moisture content.(HKO, 2010) The numerical model represents the atmosphere by a three-dimensional grid set up by systemically arranged points with the values of the meteorological parameters. The larger the set of grid points, the finer the model resolution and more details in the future state of the atmosphere can be describe, but the computational demand is also higher.(HKO, 2010) For forecasting large-scale weather systems such as surges of the winter monsoon, the Hong Kong Observatory adopted the numerical weather prediction
  • 2. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D models of the European Centre for Medium Range Weather Forecasts and the United Kingdom Meteorological Office received in the form of grid point values via the Global Telecommunication System, as well as the numerical weather prediction products from the Japan Meteorological Agency (JMA). (HKO, 2011) For short-range forecast, the Hong Kong Observatory runs an Operational Regional Spectral Model (ORSM) from the Japan Meteorological Agency (JMA) on a high speed computer. This spectral model has a resolution of 20 km and produces forecasts up to 48 hours. (HKO, 2010) Since 2010, the Non-Hydrostatic Model (NHM) implemented by the Hong Kong Observatory (HKO)has been running by a high-speed computer cluster, the NWP Integrated Computing Environment (NICE) to coverthe lower end of the mesoscale weather systems. And mesoscale weather systems refer to weather systems with horizontal scales ranging from a few to several hundred kilometers.The Non-Hydrostatic Model (NHM) has horizontal resolutions of 2 km for inner domainand 10 km for outer domain.(HKO, 2010) C. Strengths of technologies employed by HKO With increased computer speed and memory resources, a fine resolution of 2 km by 2 km grids with a short analysis time can be provided by the Non-Hydrostatic Model (NHM) implemented by the Hong Kong Observatory (HKO). Such a small grid size can allow a higher resolution and more details model. Moreover, the accuracy of the model can be enhanced. The 10-km NHM is run eight times a day to generate 72 hour forecasts and the 2-km NHM is run every hour to generate 15 hour forecasts. Prognostic weather charts and other post-processed products are made available to forecasters as early as 1 hour and 3 hours after analysis time for 2-km NHM and 10-km NHM respectively.Therefore, more timely and detailed objective guidance for formulating weather forecasts and time-critical warnings of inclement weather can be provided.(HKO, 2010) With the data supported by the analysis of the non-hydrostatic model, the Hong Kong Observatory has implemented a spatial weather information service called “Digital Weather Forecast”. It presents weather forecast in fine spatial and temporal resolution.(TONG, 2011) There are two types of forecast products, forecast map and time series provided
  • 3. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D by the Digital Weather Forecast. For the forecast time series, the forecast time charts of a specific region of a grid size 10 km x 10 km in Hong Kong can be produced. It can show the time variation of various weather elements such as temperature, wind and relative humidity within three days.For the forecast map, the data in each grid box, about 10 km x 10 km in size, on the map shows the general weather situation over the region as forecast by the model.It can show the variation of various weather elements such as temperature, wind and relative humidity within three days graphically.Both of the two products are updated twice a day, hence, a updated graphical representation of weather forecast can be reviewed by the public through the homepage of the Hong Kong Observatory easily. D. Limitations of technologies employed by HKO Firstly, for the products of “Digital Weather Forecast” implemented by the Hong Kong Observatory, the smallest grid size for data analysis is 10 km X 10 km. The value of various weather elements such as temperature, wind and relative humidity in each grid on the map shows the general weather situation over the region as forecast by the model. However, as each grid box is relatively large which is about 10 km X 10 km, it may comprise a wide range of geographic characteristics such as land mass, sea surface, hill and valley. Therefore, the weather conditions described by the products may be not fine in resolution and different from those recorded at individual weather stations within the grid box and the weather forecasts issued by the Observatory.(HKO, 2011) For that reason, as limited by the resolution of the numerical model, the “Digital Weather Forecast”is only suitable for overviewing the general weather condition of a relatively large area, but not accurate to preview the weather of a specific place or a relatively small area, for example, a housing estate.Therefore, it might not useful for the user to find the weather condition of his current position by using the “Digital Weather Forecast”. Secondly, the forecast map generated by the “Digital Weather Forecast”only contains the map with the outline of Hong Kong andlegend showing the value of various weather elements such as temperature, wind and relative humidity. It is
  • 4. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D lack of the geographic information of the map, for examples, the road features with their names, the building features with their names, the names of the districts and location, and so on. Moreover, the scale of the map is fixed and relatively small where the area of the map has also including the Pearl River Delta. However, the weather forecast of the Pearl River Delta may not necessary for the majority of local users.The more detail in the map of Hong Kong maybe more appreciated. Furthermore, for those map users who are not familiar with the location of district and places in Hong Kong, they may have to spend more time onreferring to a general map to find a specific location on the forecast map produced by the “Digital Weather Forecast”.Therefore, the forecast map may not be convenient and user-friendly for the intermediate map users. The last but not least, the Numerical Weather Prediction model (NWP) adopted by Hong Kong Observatory do not consider the 3-D urban model.However, urban areas have many ‘roughness’ elements such as buildings, trees, masts, street furniture andvehicles. As the wind blows over urban areas, the air interacts with these roughness elements andresponds according to their size, shape, layout and distribution. (Evans, 2009)These interactions have great impact on the weather forecast, especially for the urban area like Hong Kong. However, the Hong Kong Observatory does not take these urban elements into account. Therefore, the analyzed result for the weather forecast maybe not accurate and reliable and different from the weather information recorded at the individual weather stations of the Hong Kong Observatory. E. Suggested Improvements In order to increase the detail of the map productfromthe “Digital Weather Forecast”, the Hong Kong Observatory can utilize the existing Non-Hydrostatic Model (NHM)of grid size 2 km X 2 km which is implemented by itself, instead of the Non-Hydrostatic Model (NHM) of grid size 10 km X 10 km. If the grid size of the numerical weather prediction model is decreased, the resolution of the weather forecast map can be increased. The area represented by one grid can be reduced greatly from 100 km sq. to 4 km
  • 5. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D sq. As less geographic characteristics such as land mass, sea surface, hill and valley would be include in a smaller grid, the expected variation of weather conditions such as temperature and relative humidity within a grid box would be smaller and closer to the actual values. Therefore, the overall accuracy of products from the “Digital Weather Forecast” can be enhanced and it is possible to preview the weather of a specific place or a relatively small area. Moreover, the “Digital Weather Forecast” can be associated with the geographic information. The data of the “Digital Weather Forecast”is in the format of Open GIS standard KML 2.0 where KML stands for Keyhole Markup Language. There are a number of KML-supported GIS display software packages. Users can choose the appropriate software such as Google Earth according to their own needs. Through GIS display software, users can zoom in, zoom out, animate and overlay other geographic information on the weather forecast maps to better appreciate the weather conditions in their area of interest.(HKO, 2011) As a result, the products from the “Digital Weather Forecast” can become a multi-scale digital forecast map.The map user can search the information of weather forecast and other geographical information of any point on map easily in the homepage of the Hong Kong Observatory. The forecast map would be more user-friendly. To forecast weather accurately, the interaction between meteorology and the urban environment can be modeled. The numerical weather prediction model used by the Hong Kong Observatory is grid-based which is using a regular grid with each cell resenting a value, such as temperature, air pressure and so-on. And the 3-D city models are usually vector based. 3-D city model can be taken and developed to create input data for a numerical weather prediction model.(Evans, 2009) Although constructing and maintaining a 3-D city model with fine details for Hong Kong is costly and time-consuming, the detailed spatial analysis can be carried out and the quality of the weather forecast can be ensured. In the data analysis, the interaction between the urban environment and the numerical weather prediction models can be took into account. Therefore, the analyzed result of the weather forecasting would be more reliable than the conventional method of Hong Kong Observatory that only considers the numerical weather prediction
  • 6. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D models. F. Conclusion The Hong Kong Observatory has provided many useful public services of issuing weather warnings and forecasts by using the Geographic Information System (GIS) technology on its homepage. It has been developed and enhanced spatial weather information services such as “Digital Weather Forecast” for the public and special users with a view to supporting their decision-making in relation to weather-sensitive activities (TONG, 2011) . However, there are some weak points in these services, for examples, the accuracy and user-friendliness. As the “Digital Weather Forecast” provided is in beta-version, it can look forward to the improvement on it, as well as other weather services which are making use of GIS technologies, in the near future.
  • 7. The Hong Kong Polytechnic University Department of Land Surveying and Geo-Informatics LSGI4321 09155183D Reference Evans, S. (2009). 3D cities and numeriacal weather prediction models: A overview of the methods used in the LUCID project. London: Centre for Advanced Spatial Analysis University College. HKO. (2011, 11 3). Digital Weather Forecast. Retrieved 11 3, 2011, from Hong Kong Observatory: http://www.hko.gov.hk/dfs/main/dfs_tt_e.html HKO. (2010, 9 30). Mesoscale Model. Retrieved 11 3, 2011, from Hong Kong Observatory: http://www.hko.gov.hk/nhm/mesomodel_e.htm HKO. (2011, 8 15). Numerical Weather Prediction Models. Retrieved 11 3, 2011, from Hong Kong Observatory: http://www.hko.gov.hk/aviat/amt_e/nwp_e.htm Lee, L. (2007). GIS and LBS Applications in the Delivery of Weather and Geophysical Services in Hong Kong. Hong Kong: Hong Kong Observatory. TONG, Y.-f. (2011). Recent Development of Location-based and Spatial Weather Information Services by the Hong Kong Observatory. 7th Annual Seminar on Spatial Information Science and Technology (p. 3). Hong Kong: Department of Land Surveying and Geo-Informatics of the Hong Kong Polytechnic University.