The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the medium term forecast, which is run once a day, predicting streamflow over the next ten days at three hour intervals. Rivers are symbolized according to how the streamflow differs from the monthly normal.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to three hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis.Revisions:Sep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).
The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the medium term forecast, which is run once a day, predicting streamflow over the next ten days at three hour intervals.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to three hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis.Revisions:Sep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).
The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the short term forecast, which is run every hour, predicting streamflow over the next eighteen hours at one hour intervals. Rivers are symbolized according to how the streamflow differs from the monthly normal.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View forecast data sequentially using the time slider, which is set to one hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis.Revisions:Sep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).
The National Water Model (NWM) is a new product from the National Weather Service that forecasts streamflow volume and velocity over the entire continental United States. It is a hydrologic model that predicts the flow in every river reach of the National Hydrography Dataset, mathematically modeling physical processes like snowmelt, infiltration and the movement of water through soil layers in order to determine how much of the NWS precipitation forecast becomes runoff, then routing that runoff through the river network. This is the short term forecast, which is run every hour, predicting streamflow over the next eighteen hours at one hour interval.What Can You Do With This Layer?This map service is designed for fast data visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the forecast data sequentially using the time slider, which is set to one hour intervals by default, by Enabling Time Animation. This layer type is not recommended for use in analysis. Also updated Pop-Up to reflect that the 'qout' value is Not Available (N/A).Revisions:Sep 23, 2020: Updated 'qout' field values for Water Bodies. Null values are now being replaced with '-9999' in order to correct an identify issue at small scales.
Every day activities such as driving, burning coal for electricity, wildfires, running factories, even cooking and cleaning, release particles into the air. Besides being an irritant, small particles of 10, 2.5, 1 micrometers (PM10, PM2.5, PM1) or less are a health hazard since they can get deep into the respiratory system and damage the delicate tissues.The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:Long-term: PM10 20 µg/m³ annual mean and PM2.5 10 µg/m³ Short-term: PM10 50 µg/m³ 24-hour mean and PM2.5 25 µg/m³ Exposure to PM10 and PM2.5 above these limits may significantly impact human health.The OpenAQ Recent Conditions in Air Quality layers show the latest mass concentrations and particulate count for PM2.5, PM10, and PM1 of the stations in the OpenAQ data set with at least one value reported in the past 30 days.Source: The source information is the OpenAQ community which reports measured concentrations (µg/m³) and particle matter count (particles/cm³) on a global scale by aggregating station data from national networks of air quality.Update Frequency: It is updated every hour using the Aggregated Live Feed (ALF) methodology.Area Covered: GlobalRevisionsJun 23, 2023: Added new fields: Location ID, Station URL; Provider, and Instrument names. The live feed routine was updated to increase reliability and improve the overall update process.Jul 21, 2022: Added service to Live Feed Status Page for active monitoring!Feb 8, 2022: Update of live feed routine to use OpenAQ API v2:Addition of PM10 and PM1 layers.Values of particle matter count (particles/cm³) to all layers.Update of field labels.Removal of SourceName field.Feb 5, 2020: Official release of Feature Service offering.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
Every day activities such as driving, burning coal for electricity, wildfires, running factories, even cooking and cleaning, release particles into the air. Besides being an irritant, small particles of 10, 2.5, 1 micrometers (PM10, PM2.5, PM1) or less are a health hazard since they can get deep into the respiratory system and damage the delicate tissues.The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:Long-term: PM10 20 µg/m³ annual mean and PM2.5 10 µg/m³ Short-term: PM10 50 µg/m³ 24-hour mean and PM2.5 25 µg/m³ Exposure to PM10 and PM2.5 above these limits may significantly impact human health.The OpenAQ Recent Conditions in Air Quality layers show the latest mass concentrations and particulate count for PM2.5, PM10, and PM1 of the stations in the OpenAQ data set with at least one value reported in the past 30 days.Source: The source information is the OpenAQ community which reports measured concentrations (µg/m³) and particle matter count (particles/cm³) on a global scale by aggregating station data from national networks of air quality.Update Frequency: It is updated every hour using the Aggregated Live Feed (ALF) methodology.Area Covered: GlobalRevisionsJun 23, 2023: Added new fields: Location ID, Station URL; Provider, and Instrument names. The live feed routine was updated to increase reliability and improve the overall update process.Jul 21, 2022: Added service to Live Feed Status Page for active monitoring!Feb 8, 2022: Update of live feed routine to use OpenAQ API v2:Addition of PM10 and PM1 layers.Values of particle matter count (particles/cm³) to all layers.Update of field labels.Removal of SourceName field.Feb 5, 2020: Official release of Feature Service offering.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
Every day activities such as driving, burning coal for electricity, wildfires, running factories, even cooking and cleaning, release particles into the air. Besides being an irritant, small particles of 10, 2.5, 1 micrometers (PM10, PM2.5, PM1) or less are a health hazard since they can get deep into the respiratory system and damage the delicate tissues.The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:Long-term: PM10 20 µg/m³ annual mean and PM2.5 10 µg/m³ Short-term: PM10 50 µg/m³ 24-hour mean and PM2.5 25 µg/m³ Exposure to PM10 and PM2.5 above these limits may significantly impact human health.The OpenAQ Recent Conditions in Air Quality layers show the latest mass concentrations and particulate count for PM2.5, PM10, and PM1 of the stations in the OpenAQ data set with at least one value reported in the past 30 days.Source: The source information is the OpenAQ community which reports measured concentrations (µg/m³) and particle matter count (particles/cm³) on a global scale by aggregating station data from national networks of air quality.Update Frequency: It is updated every hour using the Aggregated Live Feed (ALF) methodology.Area Covered: GlobalRevisionsJun 23, 2023: Added new fields: Location ID, Station URL; Provider, and Instrument names. The live feed routine was updated to increase reliability and improve the overall update process.Jul 21, 2022: Added service to Live Feed Status Page for active monitoring!Feb 8, 2022: Update of live feed routine to use OpenAQ API v2:Addition of PM10 and PM1 layers.Values of particle matter count (particles/cm³) to all layers.Update of field labels.Removal of SourceName field.Feb 5, 2020: Official release of Feature Service offering.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
Every day activities such as driving, burning coal for electricity, wildfires, running factories, even cooking and cleaning, release particles into the air. Besides being an irritant, small particles of 10, 2.5, 1 micrometers (PM10, PM2.5, PM1) or less are a health hazard since they can get deep into the respiratory system and damage the delicate tissues.The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:Long-term: PM10 20 µg/m³ annual mean and PM2.5 10 µg/m³ Short-term: PM10 50 µg/m³ 24-hour mean and PM2.5 25 µg/m³ Exposure to PM10 and PM2.5 above these limits may significantly impact human health.The OpenAQ Recent Conditions in Air Quality layers show the latest mass concentrations and particulate count for PM2.5, PM10, and PM1 of the stations in the OpenAQ data set with at least one value reported in the past 30 days.Source: The source information is the OpenAQ community which reports measured concentrations (µg/m³) and particle matter count (particles/cm³) on a global scale by aggregating station data from national networks of air quality.Update Frequency: It is updated every hour using the Aggregated Live Feed (ALF) methodology.Area Covered: GlobalRevisionsJun 23, 2023: Added new fields: Location ID, Station URL; Provider, and Instrument names. The live feed routine was updated to increase reliability and improve the overall update process.Jul 21, 2022: Added service to Live Feed Status Page for active monitoring!Feb 8, 2022: Update of live feed routine to use OpenAQ API v2:Addition of PM10 and PM1 layers.Values of particle matter count (particles/cm³) to all layers.Update of field labels.Removal of SourceName field.Feb 5, 2020: Official release of Feature Service offering.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!