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Weather Data Fields

This page contains a complete list of the weather data fields available from SolarAnywhere®. Non-irradiance weather data is extracted from trusted global reanalysis, numerical weather prediction (NWP) or combination models. Prior to delivery, data is quality controlled by our team and transformed to align with the other SolarAnywhere data you are requesting. Weather-data sources may also be blended to provide seamless coverage across space and time. When selecting data sources, consistency, resolution and availability are considered. The following tables summarize SolarAnywhere non-irradiance weather-data field coverage.

Snow Depth

A measurement of accumulated snow height on the ground. Snow-depth data is helpful in estimating PV system losses due to snow accumulation on modules. Visit Snow Loss Modeling to learn about effective methods for estimating snow losses.

Data is available in all geographic regions. In SolarAnywhere versions 3.8 – current, snow-depth measurements globally are received at an hourly resolution. In SolarAnywhere versions 3.4 – 3.7, snow-depth measurements are received daily and persisted for every observation until the next measurement is received. Visit Weather Data Sources for information on SolarAnywhere snow-depth data sources.

Snow depth can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Note that typical year and probability of exceedance data files are generated with 100% weighting on the irradiance component and such the snow depth data included in these files is not necessarily representative of the average or PXX snow depth.

Units: m

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.8 & later Reanalysis Model Hourly 1/1/1998 - trailing couple of days 25 km* All regions
NWP Model Hourly Forecast 25 km All regions
SolarAnywhere Versions 3.4 – 3.7 Combination Model Daily 9/30/2003 – current day 1 km Contiguous United States
Reanalysis Model Hourly 1/1/1998 – trailing couple of days 25 km* All regions outside the Contiguous United States
NWP Model Hourly Forecast 25 km All regions


Solid and Liquid Precipitation

The total solid and liquid precipitation that fell per meter squared. Precipitation data is often used as a key input in PV soiling loss models, such as the HSU and Kimber models, since rainfall events can remove accumulated dirt, ash, etc., from PV modules.

Data is available in all geographic regions. In SolarAnywhere versions 3.8 – current, precipitation measurements globally are received at an hourly resolution. Sub-hourly measurements are calculated by a linear interpolation of the hourly rates. In SolarAnywhere versions 3.4 – 3.7, precipitation measurements are received as daily totals that are then divided by the number of observations included in each day (varies based on requested temporal resolution). Visit Weather Data Sources for information on SolarAnywhere precipitation data sources.

Precipitation can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Note that typical year and probability of exceedance data files are generated with 100% weighting on the irradiance component and such the precipitation data included in these files is not necessarily representative of the average or PXX precipitation.

Units: kg/m2

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.8 & later Reanalysis Model Hourly 1/1/1998 - trailing couple of days 25 km* All regions
NWP Model Hourly Forecast 25 km All regions
SolarAnywhere Versions 3.4 – 3.7 Combination Model Daily 9/30/2003 – current day 1 km Contiguous United States
Reanalysis Model Hourly 1/1/1998 – trailing couple of days 25 km* All regions outside the Contiguous United States
NWP Model Hourly Forecast 25 km All regions


Ambient Temperature

Air temperature measured at a height of 2-meters. Ambient temperature is an important consideration in PV performance modeling as temperature affects the performance of PV modules and inverters. PV modules and inverters often demonstrate reduced performance in extreme temperatures.

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Visit Weather Data Sources for information on SolarAnywhere ambient temperature data sources.

Units: Degrees Celsius

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.4 & later Reanalysis Model Hourly 1/1/1998 – trailing couple of days 25 km* All regions
NWP Model Hourly Real time Forecast 25 km All regions


Wind Speed

The wind speed measured at a height of 10-meters or 100-meters. Wind speed is often considered in PV performance modeling since it can have a cooling effect on PV cell temperature. Cooling can improve PV module performance during periods of high ambient temperature.

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Visit Weather Data Sources for information on SolarAnywhere wind speed data sources. Wind speed at 100 meters is limited to SolarAnywhere versions 3.8 and later and is not currently available for real-time or forecast time periods. Visit Wind In-depth for additional information on wind datasets.

Units: m/s

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.4 & later Reanalysis Model Hourly 1/1/1998 – trailing couple of days 25 km* All regions
NWP Model Hourly Real time Forecast 25 km All regions


Wind Direction

The direction the wind is coming from measured at a height of 10- or 100-meters in degrees clockwise from north with a range of 0 to 359 degrees. Wind direction is often considered in PV performance modeling to minimize shading impacts through optimal panel placement. Additionally, wind direction data may provide insight into PV system performance due to wind-induced temperature variations and cooling impacts.

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability-of-exceedance data types. Visit Weather Data Sources for information on SolarAnywhere wind direction data sources. Wind direction data is limited to SolarAnywhere versions 3.8 and later and is not currently available for real-time or forecast time periods. Visit Wind In-depth for additional information on wind datasets.

Units: Degrees

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.8 & later Reanalysis Model Hourly 1/1/1998 – trailing couple of days 31 km* All regions


Wind Gust

The maximum wind speed measured over 3-second intervals at a height of 10-meters for a given period. In PV performance modeling, wind gust data is beneficial for assessing the risk of damage from storms and inclement weather.

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability-of-exceedance data types. Visit Weather Data Sources for information on SolarAnywhere wind direction data sources. Wind gust data is limited to SolarAnywhere versions 3.8 and later and is not currently available for real-time or forecast time periods. Visit Wind In-depth for additional information on wind datasets.

Units: m/s

Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.8 & later Reanalysis Model Hourly 1/1/1998 – trailing couple of days 31 km* All regions


Relative Humidity

Relative humidity is a measure of the moisture content of the air at the ambient temperature. Relative humidity is often used in PV performance modeling to estimate the precipitable water content of the air, which can be used in conjunction with air mass to apply spectral correction factors. The spectral composition of the solar irradiance reaching PV modules has been shown to impact system performance.1

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Visit Weather Data Sources for information on SolarAnywhere relative humidity data sources.

Units: %

SolarAnywhere Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
SolarAnywhere Versions 3.4 & later Reanalysis Model Hourly 1/1/1998 - trailing couple of days 25 km* All regions
NWP Model 30 min Real time - Forecast 2.5 km Hawaii
NWP Model 30 min Real time - Forecast 10 km Contiguous United States
NWP Model Hourly Real time - Forecast 25 km All regions outside the Contiguous United States and Hawaii


Albedo

Albedo is a measure of the fraction of the global horizontal irradiance that is reflected off the ground. Visit Albedo Support for a detailed write-up on SolarAnywhere albedo data.

SolarAnywhere albedo data takes snow conditions into consideration. Snow conditions are highly variable from year to year. Because of this, we recommend utilizing the 12 monthly long-term averages presented in the average year summary file for use in PV performance modeling, rather than the albedo data presented in typical year files. Typical year files are generated with 100% weighting on the irradiance component. For example, the January data selected for the typical year file might be from January of 2002 because it is the most representative of typical irradiance conditions, but January of 2002 may have experienced lower than average snowfall which would be reflected in the albedo data.

Visit Average Year Summary to see additional information about this file type and see how to utilize the average albedo values in PV modeling.

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Albedo data is limited to SolarAnywhere versions 3.5 and later and is not currently available for forecast time periods.

Units: Unitless

SolarAnywhere Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
Version 3.5 & later Combination Model Long term monthly averages for surface albedo, daily timeseries for snow 1/1/1998 - approximately trailing two months Up to 1 km All regions

Visit the Albedo In-Depth page for more detail on SolarAnywhere albedo data.


Particulate Matter

Particulate matter—also known as particle pollution or PM—is a mixture of small particles and liquid droplets suspended in the air. Particulate matter data has been shown to be highly correlated with soiling losses and has been incorporated by PV simulation models such as the Humboldt State University (HSU) model to estimate soiling losses. Particulate matter may include dust, dirt, soot and smoke, as well as other organic and inorganic compounds. Depending on the size of the particles, particulate matter can be categorized into:

  1. Particles with diameter less than or equal to 10 micrometers, known as PM10
  2. Particles with diameter less than or equal to 2.5 micrometers, known as PM2.5

Data is available in all geographic regions and can be requested as an output field with time-series, typical-year (TGY/TDY/average year) and probability of exceedance data types. Particulate matter data is limited to SolarAnywhere versions 3.5 and later and is available globally for historical, real-time and forecast (2 days ahead) time periods. Visit the particulate matter page to learn more about SolarAnywhere particulate matter.

Units: μg/m3.

SolarAnywhere Data Version Network Temporal Resolution Temporal Coverage Spatial Resolution Regions Covered
Version 3.5 & later Reanalysis Model Hourly 1/1/1998 - approximately trailing two months 50 km x 62.5 km All regions
NWP Model 6 Hours Real time - Forecast (2 days ahead) 25 km All regions


Wind and Ambient Temperature Observation Type

SolarAnywhere provides ambient temperature and wind (wind speed, wind gust and wind direction) data from global reanalysis models. Periods of missing data can occur due to periods of missing measurements from ground-based sensor networks.

The wind and ambient temperature observation types provide a one-letter code indicating if the weather data was observed, missing or filled with long term averages. Users can specify whether they would like SolarAnywhere to fill missing data periods with long-term climatological averages, leave them blank, or fill them with integer or text strings that make them easier to sift out.

Here are the codes that can be provided as wind speed or ambient temperature observation types.

O Observed
M Missing
F Filled Filled with long term averages, visit Missing Data to learn more about this option.
U Unlicensed The user requesting the data is not licensed for these irradiance observations.

*25 km data in the reanalysis model is regridded from native 31 km spatial resolution.


References

1 Nelson L, Frichtl M, Panchula A. 2013. Changes in Cadmium Telluride Photovoltaic Performance Due to Spectrum. IEEE Journal of Photovoltaics. 3(1):488-493. DOI: 10.1109/JPHOTOV.2012.2226868. Link