Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed

Size: px
Start display at page:

Download "Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed"

Transcription

1 Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed Introduction: The Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed will provide you with a variety of hourly forecast variables up to 6 days in the future that will help your organization make informed decisions. The data for the ENcast 6- Day Hourly Lat- Lon Forecast Feed will be updated hourly, utilizing data from Earth Networks vast network of weather stations. This model output will be sent into the ENcast engine and made available to you, usually no later than 30 minutes past the hour. Forecast Data Access: Earth Networks will provide access to the ENcast 6- Day Hourly Lat- Lon Forecast Feed via the following domain name: Please use your Pulse API Subscritpion Key with information provided below. The following is an example call for two locations: api.net/pointforecastfeed/v2/pointforecast/6day?locationids=colu001,colu002&subscription- key=zngqtcidjfapkx1dp82u7h8aposf Variable Field Variable Name Units Metric Format LocationId Location ID Text 4 or 5 (s or Min Max Precision 4 or 5 (s or Latitude Latitude Degrees +/- XX.XXXX Longitude Longitude Degrees +/- XXX.XXXX ModelRunDateTimeUtc Model Run Date/Time ValidPeriodDateTimeUtc Valid Date/Time TemperatureC Temperature Deg C Decimal WindDirectionDegreesFromNorth Wind Direction Whole Whole WindSpeedMps Wind Speed mps Decimal DewPointC Dew Point Deg C Decimal CloudCoverPercentage Cloud Cover % Whole PrecipitationOneHourProbability 1hr Precipitation % Whole EN.PM.UM Page 1 of 10

2 PrecipitationOneHourAccumulatedMm Probability 1hr Accumulated Precipitation ThunderstormProbability Thunderstorm Probability % Whole mm Decimal VisibilityKm Visibility km Decimal WindChillC Wind Chill Deg C Decimal HeatIndexC Heat Index Deg C Decimal SfcPres Pressure Mb Whole Whole Data Delivery: The ENcast 6- Day Hourly Lat- Lon Forecast will be available through Representational State Transfer, also known as REST. This is an efficient and guaranteed delivery method utilizing web service (HTTP) explicitly where you can choose a file type, structure, and data variables from a menu of options. The forecast data will be available through REST in JavaScript Object Notification (JSON) format. Forecast Variables: Table 1 that follows outlines the variables contained within the ENcast 6- Day Hourly Lat- Lon Forecast Feed Version 2. Table 1: The Earth Networks ENCast 6- Day Hourly Lat/Lon Point Forecast Variables- Version 2 Quality Control: Please note that extensive quality control measures of the data will be implemented to ensure that data values are reasonable in the ENcast 6- Day Hourly Lat- Lon Forecast files. While rare, it is possible that data may occasionally be missing in the forecast file. This is most likely to occur in the extended forecast range because there are only 2 models the GFS and ECMWF that contribute to the forecast in the longer range. Any missing data will be denoted by a null space in the file. A null space is defined as being this: Null =,, The following variables will never have null spaces: SensorId Latitude Longitude ModelRunTime Valid PeriodTime Monitoring & Notifications: As mentioned above, the ENcast 6- Day Hourly Lat- Lon Forecast Feed will be made available to you no later than about 30 minutes past the hour. If a 6- Day ENcast Hourly Lat- Lon Forecast is not received in our system by this time, a message will be delivered, alerting you of the issue. Our support team will work diligently to remedy this. Upon successful resolution of the issue, you will receive also receive a communication e- mail. EN.PM.UM Page 2 of 10

3 Earth Networks ENcast 6- Day Hourly Sensor Forecast Feed Introduction: The Earth Networks ENcast 6- Day Hourly Sensor Forecast Feed will provide you with a variety of hourly forecast variables up to 6 days in the future that will help your organization make informed decisions. The data for the ENcast 6- Day Hourly Sensor Forecast Feed will be updated hourly, utilizing data from Earth Networks vast network of weather stations. This model output will be sent into the ENcast engine and made available to you, usually no later than 30 minutes past the hour. Forecast Data Access: Earth Networks will provide access to the ENcast 6- Day Hourly Sensor Forecast Feed via the following domain name: Please use your Pulse API Subscritpion Key with information provided below. The following is an example call for non- Earth Network Sensors: api.net/forecastfeed/v1/sensorforecast6day?sensorids=pacv,kbdl&subscription- key=265ef265ec569a79f468df98d760a46 The following is an example call for Earth Network Sensors: api.net/forecastfeed/v1/sensorforecast6day?sensorids=en.awshq,en.enhq1&subscr iption- key=265ef265ec569a79f468df98d760a46 Note: the format for Earth Networks stations is EN.<5 character site ID> Data Delivery: The ENcast 6- Day Hourly Sensor Forecast will be available through Representational State Transfer, also known as REST. This is an efficient and guaranteed delivery method utilizing web service (HTTP) explicitly where you can choose a file type, structure, and data variables from a menu of options. The forecast data will be available through REST in JavaScript Object Notification (JSON) format. Forecast Variables: Table 2 that follows outlines the variables contained within the ENcast 6- Day Hourly Sensor Forecast Feed Version 2. Table 2: The Earth Networks ENcast 6- Day Hourly Sensor Forecast Variables Version 2 Variable Field Variable Name Units Metric Format SensorId Sensor ID Text 4 or 5 (s or Min Max Precision 4 or 5 (s or EN.PM.UM Page 3 of 10

4 Latitude Latitude Degrees +/- XX.XXXX Longitude Longitude Degrees +/- XXX.XXXX ModelRunDateTimeUtc Model Run Date/Time ValidPeriodDateTimeUtc Valid Date/Time TemperatureC Temperature Deg C Decimal TemperatureMaxC 24hr High Temperature Deg C Decimal TemperatureMinC 24hr Low Temperature Deg C Decimal WindDirectionDegreesFromNorth Wind Direction Whole Whole WindSpeedMps Wind Speed mps Decimal DewPointC Dew Point Deg C Decimal CloudCoverPercentage Cloud Cover % Whole PrecipitationOneHourProbability PrecipitationOneHourAccumulatedMm 1hr Precipitation Probability 1hr Accumulated Precipitation % Whole FogProbability Fog Probability % Whole ThunderstormProbability Thunderstorm Probability % Whole mm Decimal VisibilityKm Visibility km Decimal RainProbability Rain Probability % Whole IceProbability Ice Probability % Whole SnowProbability Snow Probability % Whole SurfacePressureHpa Surface Pressure HPa Decimal MeanSeaLevelPressureHpa Mean Sea Level Pressure HPa Decimal SurfaceInsolationWm2 Forecasted Sfc Insolation W/m2 Decimal RelativeHumidityPercentage Relative Humidity % Decimal WindChillC Wind Chill Deg C Decimal HeatIndexC Heat Index Deg C Decimal WindGustMps Wind Gust mps Decimal WetBulbC Wet Bulb Deg C Decimal Quality Control: Please note that extensive quality control measures of the data will be implemented to ensure that data values are reasonable in the ENcast 6- Day Hourly Sensor Forecast files. While rare, it is possible that data may occasionally be missing in the forecast file. This is most likely to occur in the extended forecast range because there are only 2 models the GFS and ECMWF that contribute to the forecast in the longer range. Any missing data will be denoted by a null space in the file. EN.PM.UM Page 4 of 10

5 1. A null space is defined as being this: Null =,, 2. The following variables will never have null spaces: SensorId Latitude Longitude ModelRunTime Valid PeriodTime Monitoring & Notifications: As mentioned above, the ENcast 6- Day Hourly Sensor Forecast Feed will be made available to you no later than about 30 minutes past the hour. If a 6- Day ENcast Hourly Sensor Forecast is not received in our system by this time, a message will be delivered, alerting you of the issue. Our support team will work diligently to remedy this. Upon successful resolution of the issue, you will receive also receive a communication e- mail. EN.PM.UM Page 5 of 10

6 Earth Networks ENcast 15-Day Hourly Lat-Lon Forecast Feed Introduction: The Earth Networks ENcast 15-Day Hourly Lat-Lon Forecast Feed will provide you with a variety of hourly forecast variables up to 15 days in the future that will help your organization make informed decisions. The data for the ENcast 15-Day Hourly Lat-Lon Forecast Feed will be updated two times daily, following the completion of the UTC and 12:00 UTC model runs of the GFS, ECMWF, and ENSEMBLE models. This model output will be sent into the ENcast engine. The UTC ENcast 15-Day Hourly Lat-Lon Forecast Feed will be available daily by 09:30 UTC while the 12:00 UTC ENcast 15-Day Hourly Lat-Lon Forecast Feed will be available daily by 21:30 UTC. Forecast Data Access: Earth Networks will provide access to the ENcast 15-Day Hourly Lat-Lon Forecast Feed via the following domain name: Please use your Pulse API Subscritpion Key with information provided below. The following is an example call for two locations: api.net/pointforecastfeed/v2/pointforecast/15day?locationids=colu001,colu002&su bscription- key=adgheccdfbvwsx Data Delivery: The ENcast 15-Day Hourly Lat-Lon Forecast will be available through Representational State Transfer, also known as REST. This is an efficient and guaranteed delivery method utilizing web service (HTTP) explicitly where you can choose a file type, structure, and data variables from a menu of options. The forecast data will be available through REST in JavaScript Object Notification (JSON) format. Forecast Variables: Table 1 that follows outlines the variables contained within the ENcast 15-Day Hourly Lat-Lon Forecast Feed Version 2. Table 1: The Earth Networks ENCast 15- Day Hourly Lat/Lon Point Forecast Variables- Version 2 Variable Field Variable Name Units Metric Format LocationId Location ID Text 4 or 5 (s or Min Max Precision 4 or 5 (s or Latitude Latitude Degrees +/- XX.XXXX Longitude Longitude Degrees +/- XXX.XXXX ModelRunDateTimeUtc Model Run Date/Time ValidPeriodDateTimeUtc Valid Date/Time TemperatureC Temperature Deg C Decimal WindDirectionDegreesFromNorth Wind Direction Whole Whole EN.PM.UM Page 6 of 10

7 WindSpeedMps Wind Speed mps Decimal DewPointC Dew Point Deg C Decimal CloudCoverPercentage Cloud Cover % Whole PrecipitationOneHourProbability PrecipitationOneHourAccumulatedMm 1hr Precipitation Probability 1hr Accumulated Precipitation % Whole ThunderstormProbability Thunderstorm Probability % Whole mm Decimal VisibilityKm Visibility km Decimal WindChillC Wind Chill Deg C Decimal HeatIndexC Heat Index Deg C Decimal RelativeHumidityPercentage Relative Humidity % Whole Details regarding precipitation probability values: The data has two items dealing with precipitation probability. PrecipitationOneHourProbability 1hr Precipitation Probability This value is the probability that any type of precipitation will occur ThunderstormProbability Thunderstorm Probability This value is the probability that if precipitation occurs, there will be thunder Quality Control: Please note that extensive quality control measures of the data will be implemented to ensure that data values are reasonable in the ENcast 15-Day Hourly Lat-Lon Forecast files. While rare, it is possible that data may occasionally be missing in the forecast file. This is most likely to occur in the extended forecast range because there are only 2 models the GFS and ECMWF that contribute to the forecast in the longer range. Any missing data will be denoted by a null space in the file. A null space is defined as being this: Null =,, The following variables will never have null spaces: SensorId Latitude Longitude ModelRunTime Valid PeriodTime Monitoring & Notifications: As mentioned above, the ENcast 15-Day Hourly Lat-Lon Forecast Feed will be made available to you no later than the following times: UTC model run: available by 09:30 UTC 12:00 UTC model run: available by 21:30 UTC If a 15-Day ENcast Hourly Lat-Lon Forecast is not received in our system by 09:30 UTC (for the UTC model run) and 21:30 UTC, a message will be delivered, alerting you of the issue. Our support team will work diligently to remedy this. Upon successful resolution of the issue, you will receive also receive a communication . EN.PM.UM Page 7 of 10

8 Earth Networks ENcast 15-Day Hourly Sensor Forecast Feed Introduction: The Earth Networks ENcast 15-Day Hourly Sensor Forecast Feed will provide you with a variety of hourly forecast variables up to 15 days in the future that will help your organization make informed decisions. The data for the ENcast 15-Day Hourly Sensor Forecast Feed will be updated two times daily, following the completion of the UTC and 12:00 UTC model runs of the GFS, ECMWF, and ENSEMBLE models. This model output will be sent into the ENcast engine. The UTC ENcast 15-Day Hourly Sensor Forecast Feed will be available daily by 09:30 UTC while the 12:00 UTC ENcast 15-Day Hourly Sensor Forecast Feed will be available daily by 21:30 UTC. Forecast Data Access: Earth Networks will provide access to the ENcast 15-Day Hourly Sensor Forecast Feed via the following domain name: Please use your Pulse API Subscritpion Key with information provided below. The following is an example call for non- Earth Network Sensors: api.net/forecastfeed/v2/sensorforecast15day?sensorids=pacv,kbdl&subscription- key=zngqtcidjfapkx1dp82u7h8aposf The following is an example call for Earth Network Sensors: api.net/forecastfeed/v2/sensorforecast15day?sensorids=en.awshq,en.enhq1&subscription- key=zngqtcidjfapkx1dp82u7h8aposf Note: the format for Earth Networks Stations is EN.<5 character site ID> Data Delivery: The ENcast 15-Day Hourly Sensor Forecast will be available through Representational State Transfer, also known as REST. This is an efficient and guaranteed delivery method utilizing web service (HTTP) explicitly where you can choose a file type, structure, and data variables from a menu of options. The forecast data will be available through REST in JavaScript Object Notification (JSON) format. Forecast Variables: Table 2 that follows outlines the variables contained within the ENcast 15-Day Hourly Sensor Forecast Feed Version 2. Table 1: The Earth Networks ENcast 15-Day Hourly Sensor Forecast Variables Version 2 Variable Field Variable Name Units Metric Format SensorId Sensor ID Text 4 or 5 (s or Min Max Precision 4 or 5 (s or EN.PM.UM Page 8 of 10

9 Latitude Latitude Degrees +/- XX.XXXX Longitude Longitude Degrees +/- XXX.XXXX ModelRunDateTimeUtc Model Run Date/Time ValidPeriodDateTimeUtc Valid Date/Time TemperatureC Temperature Deg C Decimal TemperatureMaxC 24hr High Temperature Deg C Decimal TemperatureMinC 24hr Low Temperature Deg C Decimal WindDirectionDegreesFromNorth Wind Direction Whole Whole WindSpeedMps Wind Speed mps Decimal DewPointC Dew Point Deg C Decimal CloudCoverPercentage Cloud Cover % Whole PrecipitationOneHourProbability PrecipitationOneHourAccumulatedMm 1hr Precipitation Probability 1hr Accumulated Precipitation % Whole FogProbability Fog Probability % Whole ThunderstormProbability Thunderstorm Probability % Whole mm Decimal VisibilityKm Visibility km Decimal RainProbability Rain Probability % Whole IceProbability Ice Probability % Whole SnowProbability Snow Probability % Whole SurfacePressureHpa Surface Pressure HPa Decimal MeanSeaLevelPressureHpa Mean Sea Level Pressure HPa Decimal SurfaceInsolationWm2 Forecasted Sfc Insolation W/m2 Decimal RelativeHumidityPercentage Relative Humidity % Decimal WindChillC Wind Chill Deg C Decimal HeatIndexC Heat Index Deg C Decimal WindGustMps Wind Gust mps Decimal WetBulbC Wet Bulb Deg C Decimal RelativeHumidityPercentage Relative Humidity % Whole Details regarding precipitation probability values: The data has several items dealing with precipitation probability. PrecipitationOneHourProbability 1hr Precipitation Probability ThunderstormProbability Thunderstorm Probability This value is the probability that any type of precipitation will occur This value is the probability that if precipitation occurs, there will be thunder RainProbability Rain Probability This value is the probability that if precipitation occurs, it will be rain EN.PM.UM Page 9 of 10

10 IceProbability Ice Probability This value is the probability that if precipitation occurs, it will be freezing rain or sleet SnowProbability Snow Probability This value is the probability that if precipitation occurs, it will be snow Quality Control: Please note that extensive quality control measures of the data will be implemented to ensure that data values are reasonable in the ENcast 15-Day Hourly Sensor Forecast files. While rare, it is possible that data may occasionally be missing in the forecast file. This is most likely to occur in the extended forecast range because there are only 2 models the GFS and ECMWF that contribute to the forecast in the longer range. Any missing data will be denoted by a null space in the file. A null space is defined as being this: Null =,, The following variables will never have null spaces: SensorId Latitude Longitude ModelRunTime Valid PeriodTime Monitoring & Notifications: As mentioned above, the ENcast 15-Day Hourly Sensor Forecast Feed will be made available to you no later than the following times: UTC model run: available by 09:30 UTC 12:00 UTC model run: available by 21:30 UTC If a 15-Day ENcast Hourly Sensor Forecast is not received in our system by 09:30 UTC (for the UTC model run) and 21:30 UTC, a message will be delivered, alerting you of the issue. Our support team will work diligently to remedy this. Upon successful resolution of the issue, you will receive also receive a communication . EN.PM.UM Page 10 of 10

MxVision WeatherSentry Web Services Content Guide

MxVision WeatherSentry Web Services Content Guide MxVision WeatherSentry Web Services Content Guide July 2014 DTN 11400 Rupp Drive Minneapolis, MN 55337 00.1.952.890.0609 This document and the software it describes are copyrighted with all rights reserved.

More information

eccharts Ensemble data and recent updates Cihan Sahin, Sylvie Lamy-Thepaut, Baudouin Raoult Web development team, ECMWF

eccharts Ensemble data and recent updates Cihan Sahin, Sylvie Lamy-Thepaut, Baudouin Raoult Web development team, ECMWF eccharts Ensemble data and recent updates Cihan Sahin, Sylvie Lamy-Thepaut, Baudouin Raoult Web development team, ECMWF cihan.sahin@ecmwf.int ECMWF June 8, 2015 Outline eccharts Ensemble data in eccharts

More information

ROAD WEATHER INFORMATION SYSTEM DEVICE TESTING LEVEL C

ROAD WEATHER INFORMATION SYSTEM DEVICE TESTING LEVEL C Page 1 of 11 Date: Jan. 05, 2009 This procedure outlines Level C device test to be performed on Road Weather Information System. Level C device testing demonstrates that each device is fully operational

More information

Developments towards multi-model based forecast product generation

Developments towards multi-model based forecast product generation Developments towards multi-model based forecast product generation Ervin Zsótér Methodology and Forecasting Section Hungarian Meteorological Service Introduction to the currently operational forecast production

More information

Model Output Statistics (MOS)

Model Output Statistics (MOS) Model Output Statistics (MOS) Numerical Weather Prediction (NWP) models calculate the future state of the atmosphere at certain points of time (forecasts). The calculation of these forecasts is based on

More information

LOCAL CLIMATOLOGICAL DATA Monthly Summary November 2006

LOCAL CLIMATOLOGICAL DATA Monthly Summary November 2006 Deg. Days Precip Ty Precip Wind Sun Hu- Adj. to Sea Level mid- ity Avg Res Res Peak Minute 1 fog 2 hvy fog 3 thunder 4 ice plt 5 hail 6 glaze 7 duststm 8 smk, hz 9 blw snw 1 2 3 4A 4B 5 6 7 8 9 12 14 15

More information

LOCAL CLIMATOLOGICAL DATA Monthly Summary July 2013

LOCAL CLIMATOLOGICAL DATA Monthly Summary July 2013 Deg. Days Precip Ty Precip Wind Solar Hu- Adj. to Sea Level mid- ity Avg Res Res Peak Minute 1 fog 2 hvy fog 3 thunder 4 ice plt 5 hail 6 glaze 7 duststm 8 smk, hz 9 blw snw 1 2 3 4A 4B 5 6 7 8 9 12 14

More information

LOCAL CLIMATOLOGICAL DATA Monthly Summary September 2016

LOCAL CLIMATOLOGICAL DATA Monthly Summary September 2016 Deg. Days Precip Ty Precip Wind Solar Hu- Adj. to Sea Level mid- ity Avg Res Res Peak 2 Minute 1 fog 2 hvy fog 3 thunder 4 ice plt 5 hail 6 glaze 7 duststm 8 smk, hz 9 blw snw 1 2 3 4A 4B 5 6 7 8 9 11

More information

Weather Maps. Name:& & &&&&&Advisory:& & 1.! A&weather&map&is:& & & & 2.! Weather&fronts&are:& & & & & &

Weather Maps. Name:& & &&&&&Advisory:& & 1.! A&weather&map&is:& & & & 2.! Weather&fronts&are:& & & & & & Name: Advisory: Weather Maps 1. Aweathermapis: 2. Weatherfrontsare: a. Labelthefrontsbelow: 1. 2. 3. 4. 3. Clovercoversymbols 4. Precipitationsymbols 5. 6. 7. 8. 5. RadarEchoIntensityshows 6. Isobarsare

More information

EN.PM.UM Page1 of 86. Pulse PRO. API Technical Documentation

EN.PM.UM Page1 of 86. Pulse PRO. API Technical Documentation Page1 of 86 Pulse PRO API Technical Documentation Pulse PRO API Technical Documentation Table of Contents Introduction... 3 WeatherBug Icons... 3 Bad or Missing Data Values... 3 REST API... 3 Subscription

More information

Severe Weather Watches, Advisories & Warnings

Severe Weather Watches, Advisories & Warnings Severe Weather Watches, Advisories & Warnings Tornado Watch Issued by the Storm Prediction Center when conditions are favorable for the development of severe thunderstorms and tornadoes over a larger-scale

More information

Wind Events. Flooding Events. T-Storm Events. Awareness Alerts / Potential Alerts / Action Alerts / Immediate Action Alerts / Emergency Alerts.

Wind Events. Flooding Events. T-Storm Events. Awareness Alerts / Potential Alerts / Action Alerts / Immediate Action Alerts / Emergency Alerts. Information Updated: February of 2016 Our Alert Terms Definitions * Use exactly as seen below * Wind Events Awareness Alert - Strong Winds Potential Alert - Damaging Winds ACTION Alert - Damaging Winds

More information

National Climatic Data Center DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA. July 12, 2006

National Climatic Data Center DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA. July 12, 2006 DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA July 12, 2006 151 Patton Ave. Asheville, NC 28801-5001 USA Table of Contents Topic Page Number 1. Abstract... 3 2. Element

More information

London Heathrow Field Site Metadata

London Heathrow Field Site Metadata London Heathrow Field Site Metadata Field Site Information Name: Heathrow src_id (Station ID number): 708 Geographic Area: Greater London Latitude (decimal ): 51.479 Longitude (decimal ): -0.449 OS Grid

More information

Experimental MOS Precipitation Type Guidance from the ECMWF Model

Experimental MOS Precipitation Type Guidance from the ECMWF Model Experimental MOS Precipitation Type Guidance from the ECMWF Model Phillip E. Shafer David E. Rudack National Weather Service Meteorological Development Laboratory Silver Spring, MD Development Overview:

More information

Package weathercan. July 5, 2018

Package weathercan. July 5, 2018 Type Package Package weathercan July 5, 2018 Title Download Weather Data from the Environment and Climate Change Canada Website Version 0.2.7 Provides means for downloading historical weather data from

More information

Plot manual. Synop of a landstation The basic form of the SYNOP bulletin for a landstation is: Plotmanual 1

Plot manual. Synop of a landstation The basic form of the SYNOP bulletin for a landstation is: Plotmanual 1 Plotmanual 1 Plot manual Introduction Meteorological bulletins are distributed worldwide and must be readable by persons have all nationalities and backgrounds. That is one of the reasons these bulletins

More information

Application and verification of ECMWF products 2018

Application and verification of ECMWF products 2018 Application and verification of ECMWF products 2018 National Meteorological Administration, Romania 1. Summary of major highlights In the field of numerical model verification, the daily GRID_STAT method

More information

Name Class Date. 3. In what part of the water cycle do clouds form? a. precipitation b. evaporation c. condensation d. runoff

Name Class Date. 3. In what part of the water cycle do clouds form? a. precipitation b. evaporation c. condensation d. runoff Skills Worksheet Directed Reading B Section: Water in the Air 1. What do we call the condition of the atmosphere at a certain time and place? a. the water cycle b. weather c. climate d. precipitation THE

More information

Road weather forecasts and MDSS in Slovakia

Road weather forecasts and MDSS in Slovakia ID: 0030 Road weather forecasts and MDSS in Slovakia M. Benko Slovak Hydrometeorological Institute (SHMI), Jeséniova 17, 83315 Bratislava, Slovakia Corresponding author s E-mail: martin.benko@shmu.sk ABSTRACT

More information

SuperPack North America

SuperPack North America SuperPack North America Speedwell SuperPack makes available an unprecedented range of quality historical weather data, and weather data feeds for a single annual fee. SuperPack dramatically simplifies

More information

Complete Weather Intelligence for Public Safety from DTN

Complete Weather Intelligence for Public Safety from DTN Complete Weather Intelligence for Public Safety from DTN September 2017 White Paper www.dtn.com / 1.800.610.0777 From flooding to tornados to severe winter storms, the threats to public safety from weather-related

More information

Appendix 4 Weather. Weather Providers

Appendix 4 Weather. Weather Providers Appendix 4 Weather Using weather data in your automation solution can have many benefits. Without weather data, your home automation happens regardless of environmental conditions. Some things you can

More information

STUDY UNIT SEVENTEEN GRAPHICAL AIRMAN S METEOROLOGICAL ADVISORY (G-AIRMET)

STUDY UNIT SEVENTEEN GRAPHICAL AIRMAN S METEOROLOGICAL ADVISORY (G-AIRMET) STUDY UNIT SEVENTEEN GRAPHICAL AIRMAN S METEOROLOGICAL ADVISORY (G-AIRMET) 341 (10 pages of outline) 17.1 Product Description....................................................... 341 17.2 Issuance...............................................................

More information

GUIDELINES FOR SCHOOL DELAYS AND CLOSINGS DUE TO INCLEMENT WEATHER

GUIDELINES FOR SCHOOL DELAYS AND CLOSINGS DUE TO INCLEMENT WEATHER Dear Parents, Patrons and Staff: This communication is meant to aid you in your daily decisions to send your children to school. As the school, we check road and weather conditions many times during a

More information

station) on the serial port

station) on the serial port Connects a Davis VantagePro2 or Vantage Vue to a BACnet network BACnet MS/TP over RS-485 compatible Easy BACnet network configuration via onboard switches Various selectable metric and imperial unit conversions

More information

2016 EXPLANATION OF OBSERVATIONS BY REFERENCE NUMBER

2016 EXPLANATION OF OBSERVATIONS BY REFERENCE NUMBER S 2016 EXPLANATION OF OBSERVATIONS BY REFERENCE NUMBER tation was moved to 10905 Virginia Forest Court Glen Allen, Virginia in Henrico County on June 10, 2008. Latitude 37 39' 18.87" (37.65537) Longitude

More information

Package rwunderground

Package rwunderground Type Package Package rwunderground Title R Interface to Weather Underground API Version 0.1.7 Date 2017-11-13 Author Alex Shum November 12, 2017 Maintainer Eric Hare

More information

Weather Company Data for Advanced Analytics

Weather Company Data for Advanced Analytics Service Description Weather Company Data for Advanced Analytics This Service Description describes the Cloud Service IBM provides to Client. Client means the contracting party and its authorized users

More information

Snow Measurement Guidelines for National Weather Service Snow Spotters

Snow Measurement Guidelines for National Weather Service Snow Spotters Snow Measurement Guidelines for National Weather Service Snow Spotters National Weather Service Forecast Office Northern Indiana October 2004 Table of Contents Introduction 3 Definitions.. 3 Relaying Real

More information

Weather Data Weather Forecasts Weather Risk Consultancy Weather Risk Management Software SWS Weather Data Format

Weather Data Weather Forecasts Weather Risk Consultancy Weather Risk Management Software SWS Weather Data Format SWS Weather Data Format 1 Background The Speedwell Weather System (SWS) is an enterprise software product for the parametric weather risk market and includes: -Front Office tools relating to the pricing,

More information

BUFR Table D - List of common sequences

BUFR Table D - List of common sequences BUFR Table D - List of common sequences Category of sequences 3 00 BUFR table entries sequences 3 01 Location and identification sequences 3 02 Meteorological sequences common to surface data 3 03 Meteorological

More information

Weather observations from Tórshavn, The Faroe Islands

Weather observations from Tórshavn, The Faroe Islands Weather observations from Tórshavn, The Faroe Islands 1953-2014 - Observation data with description John Cappelen Copenhagen 2015 http://www.dmi.dk/fileadmin/rapporter/tr/tr15-09 page 1 of 14 Colophon

More information

Table of Contents DBCP Buoy Monitoring Statistics... 1

Table of Contents DBCP Buoy Monitoring Statistics... 1 DBCP Buoy Monitoring Statistics Table of Contents DBCP Buoy Monitoring Statistics... 1 Introduction... 1 Standard format for the buoy monitoring statistics:... 4 Distribution of the statistics:... 4 Standard

More information

The Kestrel Handheld Weather Tracker. 1) If the unit is configured to log data and it is turned off, will it continue to log temperature data?

The Kestrel Handheld Weather Tracker. 1) If the unit is configured to log data and it is turned off, will it continue to log temperature data? The Kestrel Handheld Weather Tracker 1) If the unit is configured to log data and it is turned off, will it continue to log temperature data? Wind data? 2) If you turn on the unit and it doesn t take you

More information

DMI Report Weather observations from Tórshavn, The Faroe Islands Observation data with description

DMI Report Weather observations from Tórshavn, The Faroe Islands Observation data with description DMI Report 17-09 Weather observations from Tórshavn, The Faroe Islands 1953-2016 - Observation data with description John Cappelen Copenhagen 2017 http://www.dmi.dk/laer-om/generelt/dmi-publikationer/

More information

BUFR format in a nutshell

BUFR format in a nutshell BUFR format in a nutshell Enrico Fucile Enrico.Fucile@ecmwf.int ECMWF February 19, 2018 WMO Binary Codes BUFR (Binary Universal Form for the Representation of meteorological data) is a flexible binary

More information

OpenWeatherMap Module

OpenWeatherMap Module OpenWeatherMap Module Installation and Usage Guide Revision: Date: Author(s): 1.0 Friday, October 13, 2017 Richard Mullins Contents Overview 2 Installation 3 Import the TCM in to accelerator 3 Add the

More information

New SPOT Program. Customer Tutorial. Tim Barry Fire Weather Program Leader National Weather Service Tallahassee

New SPOT Program. Customer Tutorial. Tim Barry Fire Weather Program Leader National Weather Service Tallahassee New SPOT Program Customer Tutorial Tim Barry Fire Weather Program Leader National Weather Service Tallahassee tim.barry@noaa.gov Live Demonstration http://www.weather.gov/spot/ Live Demonstration http://www.weather.gov/spot/

More information

Finnish Open Data Portal for Meteorological Data

Finnish Open Data Portal for Meteorological Data 18.11.2013 1 Finnish Open Data Portal for Meteorological Data 14th Workshop on meteorological operational systems Roope Tervo Finnish Meteorological Institute Example of Data Sets -- Observations Data

More information

UltraWeatherBug3 HSPI User s Guide A HomeSeer HS3 plug-in to access live local weather conditions, forecasts and severe weather alerts

UltraWeatherBug3 HSPI User s Guide A HomeSeer HS3 plug-in to access live local weather conditions, forecasts and severe weather alerts UltraWeatherBug3 HSPI User s Guide A HomeSeer HS3 plug-in to access live local weather conditions, forecasts and severe weather alerts Copyright 2015 ultrajones@hotmail.com Revised 08/08/2015 This document

More information

Module 11: Meteorology Topic 3 Content: Weather Instruments Notes

Module 11: Meteorology Topic 3 Content: Weather Instruments Notes Introduction In order for meteorologists to accurately predict the weather, they take thousands of different weather measurements each day. Meteorologists need to use many tools in order to draw an accurate

More information

NOAA s National Weather Service VAAC Anchorage. Don Moore

NOAA s National Weather Service VAAC Anchorage. Don Moore NOAA s National Weather Service VAAC Anchorage Don Moore VAAC Best Practices Workshop May 2015 Volcanic Eruptions Volcanic Eruptions Volcanic Eruptions VAAC Anchorage and Alaska Aviation Weather Unit (AAWU)

More information

Mr. P s Science Test!

Mr. P s Science Test! WEATHER- 2017 Mr. P s Science Test! # Name Date 1. Draw and label a weather station model. (10 pts) 2. The is the layer of the atmosphere with our weather. 3. Meteorologists classify clouds in about different

More information

Lab 19.2 Synoptic Weather Maps

Lab 19.2 Synoptic Weather Maps Lab 19.2 Synoptic Weather Maps Name: Partner: Purpose The purpose of this lab is to have you read and interpret the information displayed on synoptic weather maps. You will also learn the techniques used

More information

AWS BUFR representation of nominal values

AWS BUFR representation of nominal values WORLD METEOROLOGICAL ORGANIZATION COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS EXPERT TEAM ON REQUIREMENTS FOR DATA FROM AUTOMATIC WEATHER STATIONS FOURTH SESSION

More information

Table 1-2. TMY3 data header (line 2) 1-68 Data field name and units (abbreviation or mnemonic)

Table 1-2. TMY3 data header (line 2) 1-68 Data field name and units (abbreviation or mnemonic) 1.4 TMY3 Data Format The format for the TMY3 data is radically different from the TMY and TMY2 data.. The older TMY data sets used columnar or positional formats, presumably as a method of optimizing data

More information

Sources of Hourly Surface Data and Weather Maps for the U.S.

Sources of Hourly Surface Data and Weather Maps for the U.S. Sources of Hourly Surface Data and Weather Maps for the U.S. Weather Underground Weather Underground http://www.wunderground.com/history/ maintains a deep archive of hourly reports for around the world.

More information

Application and verification of ECMWF products 2015

Application and verification of ECMWF products 2015 Application and verification of ECMWF products 2015 Hungarian Meteorological Service 1. Summary of major highlights The objective verification of ECMWF forecasts have been continued on all the time ranges

More information

Application and verification of ECMWF products 2017

Application and verification of ECMWF products 2017 Application and verification of ECMWF products 2017 Finnish Meteorological Institute compiled by Weather and Safety Centre with help of several experts 1. Summary of major highlights FMI s forecasts are

More information

Your Source for Global Aviation Forecasts

Your Source for Global Aviation Forecasts Your Source for Global Aviation Forecasts (831) 238-5054 100 Sky Park Drive Monterey, CA 93940 Weather4Cast.com Live Weather Data Feeds Weather4Cast.com provides Live Aviation Weather Data Feeds formatted

More information

SPEARFISH FIRE DEPARTMENT POLICIES AND PROCEDURES

SPEARFISH FIRE DEPARTMENT POLICIES AND PROCEDURES SPEARFISH FIRE DEPARTMENT POLICIES AND PROCEDURES Page 1 of 5 Volume: Operation Section: 20.00 Number: 20.09 Subject: Weather Watches, Warnings, Advisory s and Spotter Activation Date Issued: 28 March

More information

BUFR Table D List of common sequences

BUFR Table D List of common sequences BUFR Table D List of common sequences F X Category of sequences Identifier NONE Category 01 Location and identification sequences (Temperature and humidity instrumentation) 3 01 130 0 03 002 Generic type

More information

Average Weather In March For Fukuoka, Japan

Average Weather In March For Fukuoka, Japan Average Weather In March For Fukuoka, Japan Location This report describes the typical weather at the Fukuoka Airport (Fukuoka, Japan) weather station over the course of an average March. It is based on

More information

The enduring fog and low cloud episode of 5-10 December 2015: Big Bubble Fog Trouble

The enduring fog and low cloud episode of 5-10 December 2015: Big Bubble Fog Trouble 1. Overview The enduring fog and low cloud episode of 5-10 December 2015: Big Bubble Fog Trouble By Richard H. Grumm National Weather Service State College, PA An enduring low cloud and fog episode affected

More information

EnergyPlus Weather File (EPW) Data Dictionary

EnergyPlus Weather File (EPW) Data Dictionary EnergyPlus Weather File (EPW) Data Dictionary The data dictionary for EnergyPlus Weather Data is shown below. Note that semi-colons do NOT terminate lines in the EnergyPlus Weather Data. It helps if you

More information

Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia)

Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia) Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia) Pulkovo airport (St. Petersburg, Russia) is one of the biggest airports in the Russian Federation (150

More information

An overview of Wet Season Forecasting in the Northern Territory

An overview of Wet Season Forecasting in the Northern Territory TWP-ICE Meeting November 2004 An overview of Wet Season Forecasting in the Northern Territory Lori Chappel Northern Territory Regional Forecasting Centre Australian Government Bureau of Meteorology Day

More information

Weather and the Atmosphere. RAP Short Course

Weather and the Atmosphere. RAP Short Course Weather and the Atmosphere RAP Short Course Syllabus 1) Vertical structure and composition of the atmosphere, basic weather variables 2) Warming Earth and its atmosphere the diurnal and seasonal cycles

More information

NOAA s Climate Normals. Pre-release Webcast presented by NOAA s National Climatic Data Center June 13, 2011

NOAA s Climate Normals. Pre-release Webcast presented by NOAA s National Climatic Data Center June 13, 2011 NOAA s 1981-2010 Climate Normals Pre-release Webcast presented by NOAA s National Climatic Data Center June 13, 2011 Takeaway Messages Most Normals will be available July 1 via FTP NWS Normals to be loaded

More information

Marine Corps Installations East Regional METOC Center MCAS Cherry Point, NC Standardized Weather Warnings Definitions

Marine Corps Installations East Regional METOC Center MCAS Cherry Point, NC Standardized Weather Warnings Definitions Marine Corps Installations East Regional METOC Center MCAS Cherry Point, NC Standardized Weather Warnings Definitions Updated: 25 June 2012 MCIE Standardized Weather Warnings Warning Local Wind Warning

More information

Northeastern United States Snowstorm of 9 February 2017

Northeastern United States Snowstorm of 9 February 2017 Northeastern United States Snowstorm of 9 February 2017 By Richard H. Grumm and Charles Ross National Weather Service State College, PA 1. Overview A strong shortwave produced a stripe of precipitation

More information

Application and verification of ECMWF products: 2010

Application and verification of ECMWF products: 2010 Application and verification of ECMWF products: 2010 Hellenic National Meteorological Service (HNMS) F. Gofa, D. Tzeferi and T. Charantonis 1. Summary of major highlights In order to determine the quality

More information

Optimal combination of NWP Model Forecasts for AutoWARN

Optimal combination of NWP Model Forecasts for AutoWARN ModelMIX Optimal combination of NWP Model Forecasts for AutoWARN Tamas Hirsch, Reinhold Hess, Sebastian Trepte, Cristina Primo, Jenny Glashoff, Bernhard Reichert, Dirk Heizenreder Deutscher Wetterdienst

More information

Fun with Weather Maps! (no, really stop laughing) AOSC 200 Tim Canty

Fun with Weather Maps! (no, really stop laughing) AOSC 200 Tim Canty Fun with Weather Maps! (no, really stop laughing) AOSC 200 Tim Canty Class Web Site: http://www.atmos.umd.edu/~tcanty/aosc200 Topics for today: Observations Station Model Temperature Maps Pressure Maps

More information

Application and verification of the ECMWF products Report 2007

Application and verification of the ECMWF products Report 2007 Application and verification of the ECMWF products Report 2007 National Meteorological Administration Romania 1. Summary of major highlights The medium range forecast activity within the National Meteorological

More information

Vantage PRO2 Quick. Reference Guide

Vantage PRO2 Quick. Reference Guide Vantage PRO2 Quick Reference Guide INTRO This Quick Reference Guide will provide you with abbreviated instructions for all functions of the Vantage Pro2 console. For more detailed instructions, see Vantage

More information

Open Notify API. Release 0.2. Nathan Bergey

Open Notify API. Release 0.2. Nathan Bergey Open Notify API Release 0.2 Nathan Bergey Mar 15, 2017 Contents 1 International Space Station Current Location 3 2 International Space Station Pass Predictions 5 3 Open APIs From Space 7 3.1 APIs:...................................................

More information

New applications using real-time observations and ECMWF model data

New applications using real-time observations and ECMWF model data New applications using real-time observations and ECMWF model data 12 th Workshop on Meteorological Operational Systems Wim van den Berg [senior meteorological researcher, project coordinator] Overview

More information

Warsaw Community Schools Guidelines for School Delays and Closings due to Inclement Weather

Warsaw Community Schools Guidelines for School Delays and Closings due to Inclement Weather Warsaw Community Schools Guidelines for School Delays and Closings due to Inclement Weather Beliefs Weather conditions are both variable and extreme in Northern Indiana. WCS believes due to the large geographical

More information

Deliverable 4-2: Assessment items. Activity-oriented Quiz for Weather or Not? Investigation in Exploring the Environment

Deliverable 4-2: Assessment items. Activity-oriented Quiz for Weather or Not? Investigation in Exploring the Environment Deliverable 4-2: Assessment items Activity-oriented Quiz for Weather or Not? Investigation in Exploring the Environment In Weather or Not? you predicted the weather using satellite images and other kinds

More information

Understanding Weather and Climate Risk. Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017

Understanding Weather and Climate Risk. Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017 Understanding Weather and Climate Risk Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017 What is risk in a weather and climate context? Hazard: something with the

More information

Speedwell High Resolution WRF Forecasts. Application

Speedwell High Resolution WRF Forecasts. Application Speedwell High Resolution WRF Forecasts Speedwell weather are providers of high quality weather data and forecasts for many markets. Historically we have provided forecasts which use a statistical bias

More information

Fusarium Head Blight (FHB)

Fusarium Head Blight (FHB) Fusarium Head Blight (FHB) FHB is a Fungal disease of cereal crops that affects kernel development 1999 declared a pest under the Agricultural Pest Act 2002 Alberta released Fusarium Risk Management Plan

More information

Weather 101 Brad Jakubowski Doane College Water

Weather 101 Brad Jakubowski Doane College Water Weather 101 Fundamental Meteorology for Turf Managers Brad Jakubowski Doane College Do Baseballs Really Fly Farther at Coors Field? In theory, A well struck baseball should travel 10 percent farther at

More information

CSU RAMS. Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage)

CSU RAMS. Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage) CSU RAMS Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage) This document contains detailed notes on how gridded pressure level datasets (such as NCEP-reanalysis, GFS

More information

meteoblue API data packages and images

meteoblue API data packages and images meteoblue API data packages and images 0 meteoblue API... 3 0.1 What is the meteoblue API?... 3 0.2 Advantages of the meteoblue API... 3 0.3 Definitions... 3 0.4 Key Reference Documents... 3 1 API data

More information

NWS Resources For School Districts

NWS Resources For School Districts NWS Resources For School Districts January 23rd, 2017 Shawn DeVinny shawn.devinny@noaa.gov Meteorologist National Weather Service Twin Cities/Chanhassen, MN Outline Watches/Warnings/Advisories Example

More information

WEATHER, CLIMATE, & NATURAL HAZARDS (3.ES.NGSS)

WEATHER, CLIMATE, & NATURAL HAZARDS (3.ES.NGSS) TM WEATHER, CLIMATE, & NATURAL HAZARDS (3.ES.NGSS) UNIT AT A GLANCE ACTIVITY 1 - Weather Trackers QUESTIONS: How can two different areas have different weather conditions? How can we collect weather data

More information

Weather to Climate Investigation: Snow

Weather to Climate Investigation: Snow Name: Date: Weather to Climate Investigation: Snow Guiding Questions: What are the historical and current weather patterns or events for a location in the United States? What are the long-term weather

More information

Quick Reference Guide

Quick Reference Guide Vantage PRO Davis Instruments 3465 Diablo Ave, Hayward, CA 94545 U.S.A. Phone (510) 732 9229 Fax (510) 732 9188 www.davisnet.com E-mail: sales@davisnet.com support@davisnet.com Quick Reference Guide Part

More information

Multiple Choice Identify the choice that best completes the statement or answers the question.

Multiple Choice Identify the choice that best completes the statement or answers the question. CH.15 practice TEST Multiple Choice Identify the choice that best completes the statement or answers the question. 1) The short-term state of the atmosphere is called a) climate. c) water cycle. b) weather.

More information

Better Decisions for Your Business Drive your company forward with ultra-precise weather forecasts

Better Decisions for Your Business Drive your company forward with ultra-precise weather forecasts Better Decisions for Your Business Drive your company forward with ultra-precise weather forecasts Problem: Inaccurate Forecasts, Especially over Mountainous Regions Which weather data are you using? What

More information

THE METEOROLOGICAL DATA QUALITY MANAGEMENT OF THE ROMANIAN NATIONAL SURFACE OBSERVATION NETWORK

THE METEOROLOGICAL DATA QUALITY MANAGEMENT OF THE ROMANIAN NATIONAL SURFACE OBSERVATION NETWORK THE METEOROLOGICAL DATA QUALITY MANAGEMENT OF THE ROMANIAN NATIONAL SURFACE OBSERVATION NETWORK Ioan Ralita, Ancuta Manea, Doina Banciu National Meteorological Administration, Romania Ionel Dragomirescu

More information

Impact of sea surface temperature on COSMO forecasts of a Medicane over the western Mediterranean Sea

Impact of sea surface temperature on COSMO forecasts of a Medicane over the western Mediterranean Sea Impact of sea surface temperature on COSMO forecasts of a Medicane over the western Mediterranean Sea V. Romaniello (1), P. Oddo (1), M. Tonani (1), L. Torrisi (2) and N. Pinardi (3) (1) National Institute

More information

WORLD METEOROLOGICAL ORGANIZATION THE WMO TABLE DRIVEN CODES: THE 21 ST CENTURY UNIVERSAL OBSERVATION CODES

WORLD METEOROLOGICAL ORGANIZATION THE WMO TABLE DRIVEN CODES: THE 21 ST CENTURY UNIVERSAL OBSERVATION CODES WORLD METEOROLOGICAL ORGANIZATION THE WMO TABLE DRIVEN CODES: THE 21 ST CENTURY UNIVERSAL OBSERVATION CODES 1 THE WMO TABLE DRIVEN CODES: THE 21 ST CODES CENTURY UNIVERSAL OBSERVATION ABSTRACT The table

More information

isma-b-aac20 isma Weather kit User Manual Version 1.0 Page 1 / 11

isma-b-aac20 isma Weather kit User Manual Version 1.0 Page 1 / 11 isma-b-aac20 User Manual isma Weather kit Version 1.0 Page 1 / 11 Table of contents Sedona Weather module... 3 Installing isma Weather kit... 3 2.1 Install isma_weather kit on the AAC20 controller... 4

More information

WAFS_Word. 2. Menu. 2.1 Untitled Slide

WAFS_Word. 2. Menu. 2.1 Untitled Slide WAFS_Word 2. Menu 2.1 Untitled Slide Published by Articulate Storyline 1. Introduction 1.1 Introduction Notes: As you will probably be aware, the traditional significant weather forecasts, usually seen

More information

Icing prediction on blade wind turbine using forecast data

Icing prediction on blade wind turbine using forecast data Icing prediction on blade wind turbine using forecast data From Antoine Amossé, instrumentation and control Engineer Summary 1. Context & Challenge 2. Data integration and algorithm 3. Results 4. Conclusion

More information

APPMODULE WEATHER App Documentation

APPMODULE WEATHER App Documentation REAL SMART HOME GmbH APPMODULE WEATHER App Version: 1.2.0 Type: Application Article No.: BAB-022 version I Actual state 03/2017 Date: 30. Mai 2017 EN WEATHER App REAL SMART HOME GmbH STILWERK Dortmund

More information

Construction and Interpretation of Weather Station Models

Construction and Interpretation of Weather Station Models Fall Semester Regents Earth Science John Dewey High School Mr. Klimetz Construction and Interpretation of Weather Station Models An Exercise in the Construction and Interpretation of Weather Station Models

More information

Name 28-MAY-08. FA RP 1 Mr. Chase. 1. Which weather-station model shows an air pressure of millibars?

Name 28-MAY-08. FA RP 1 Mr. Chase. 1. Which weather-station model shows an air pressure of millibars? FA RP 1 Mr. Chase Name 28-MAY-08 1. Which weather-station model shows an air pressure of 993.4 millibars? 2. Which station model shows the correct form for indicating a northwest wind at 25 knots and an

More information

IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST. (a) (b) (c)

IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST. (a) (b) (c) 9B.3 IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST Tetsuya Iwabuchi *, J. J. Braun, and T. Van Hove UCAR, Boulder, Colorado 1. INTRODUCTION

More information

Sources of Hourly Surface Data and Weather Maps for the U.S.

Sources of Hourly Surface Data and Weather Maps for the U.S. Sources of Hourly Surface Data and Weather Maps for the U.S. Weather Underground Weather Underground http://www.wunderground.com/history/ maintains a deep archive of hourly reports for around the world.

More information

Quick Start Guide New Mountain Visit our Website to Register Your Copy (weatherview32.com)

Quick Start Guide New Mountain Visit our Website to Register Your Copy (weatherview32.com) Quick Start Guide New Mountain Visit our Website to Register Your Copy (weatherview32.com) Page 1 For the best results follow all of the instructions on the following pages to quickly access real-time

More information

Observing Weather: Making the Invisible Visible. Dr. Michael J. Passow

Observing Weather: Making the Invisible Visible. Dr. Michael J. Passow Observing Weather: Making the Invisible Visible Dr. Michael J. Passow What Is Weather? Weather refers to the conditions of the atmosphere at a certain place and time. Weather differs from Climate, which

More information

WEATHER FORECAST DHAKA

WEATHER FORECAST DHAKA WEATHER FORECAST DHAKA 02.01.2019 Hourly 2 PM 4 PM 8 PM 11 PM Temp. / Dew Point 26 / 12 25 / 12 20 / 12 18 / 13 Wind 15 km/h WNW 13 km/h WNW 4 km/h WNW 6 km/h WNW Humidity 41% 43% 62% 71% Chance of Precip

More information

Global Surface Archives Documentation

Global Surface Archives Documentation Global Surface Archives Documentation 1 July 2013 PO BOX 450211 GARLAND TX 75045 www.weathergraphics.com Global Surface Archives is a dataset containing hourly and special observations from official observation

More information

D4.5 Operational METOC service D4.10 Operational Ice Chart service

D4.5 Operational METOC service D4.10 Operational Ice Chart service D4.5 Operational METOC service D4.10 Operational Ice Chart service Project no. 636329 Project acronym: EfficienSea2 EFFICIENSEA2 efficient, safe and sustainable traffic at sea Funding scheme: Innovation

More information

Chapter 1 Anatomy of a Cyclone

Chapter 1 Anatomy of a Cyclone Chapter 1 Anatomy of a Cyclone The Beast in the East 15-17 February 2003 Extra-tropical cyclone an area of low pressure outside of the tropics Other names for extra-tropical cyclones: Cyclone Mid-latitude

More information