Products
menu item
Prospect
Quick estimate of PV site's solar potential
menu item
Evaluate
Time Series & TMY data for energy modelling
menu item
Monitor
Real-time PV output assessment
menu item
Forecast
Solar power output forecast for up to 14 days
menu item
Analyst
Simplified & unified solar data management
menu item
Integrations
Automate delivery of Solargis data
Use cases
menu item
Site selection
Find the right solar project location
menu item
Energy yield simulation
Analyze potential gains and risks
menu item
Optimizing power plant design
Find optimum power plant design
menu item
Real power plant performance
Discover the true output
menu item
Power output forecast
Predict solar project energy output
menu item
Ground data verification
Verify quality of solar & meteo measurements
Solar Resource & Meteo Assessment
Detailed solar resource validation and assessment
Site Adaptation of Solargis Models
Combining satellite data with on-site measurements
Quality Control of Solar & Meteo Measurements
Correction of errors in ground-measured data
Customized GIS Data
Customized Solargis GIS data for your applications
PV Energy Yield Assessment
Estimated energy uncertainties and related data inputs
PV Performance Assessment
Energy estimate for refinancing or asset acquisition
PV Variability & Storage Optimization Study
Understand output variability across wide geo regions
Regional Solar Energy Potential Study
Identification of locations for solar power plants
Our expertise
How our technology works
Methodology
How we transform science into technology
API & integration
How to integrate Solargis data via API
Product guides & documentation
Release notes
Success stories
Blog
Ebooks & Whitepapers
Webinars
Collaterals
Publications
Events
Free Maps & GIS Data
Solar performance maps
About Solargis
Partners
ISO Certification
Careers

precipitable water scheme1

Precipitable water or ‘PWAT’ in short, is the depth of water in a column of the atmosphere if all the water in that column were precipitated as rain. PWAT, expressed in mm or kg/m2, should not be confused with precipitation. Whilst PWAT represents how much precipitation would occur in a column of air (all the way up from ground level) if it were completely squeezed out, precipitation refers to the actual water content that falls on the Earth’s surface. Values of precipitable water are generally high near the Equator.

The role of precipitable water in PV energy modeling

The weather parameters that have the greatest influence on the performance of a PV system are irradiation and temperature. All widely-used PV simulation software make use of mathematical models that account for the impact on the performance of modules when irradiation and temperature vary from STC conditions (1000 W/m2 and 25°C). Less known is the fact that PV module performance also depends on spectral irradiation distribution.

Pyranometer measurements and solar radiation databases such as Solargis provide broadband radiation. However, the data do not specify the spectral distribution. Because of the high cost of spectroradiometers, data on spectral distribution is not easily available. In the absence of measured spectral distribution data, models have been proposed to characterize spectral shift based on available atmospheric data. Models that consider precipitable water have shown relatively good performance. Such models are being increasingly incorporated into PV energy modeling software available on the market.

PWAT data in Solargis

In response to a growing number of request for PWAT data from our customer base, we have now included precipitable water as a default data parameter in our data product ‘Time Series – extended’. PWAT data is also included in the TMY files generated from ‘Time Series – extended’.

The source of the data is the NOAA NCEP Climate Forecast System: CFSR (past to 2010) and CFSv2 (2011 to present). The CFS model incorporates observations from satellites fitted with microwave sensors, that can detect precipitable water. PWAT data are available in hourly time step from Solargis.

Solargis pwat tmy

We hope that the inclusion of precipitable water to Solargis datasets will help the solar industry improve the accuracy of PV energy predictions.

 

 

Keep reading

Training in Beijing: sharing our knowledge with chinese professionals and the public
Solargis news

Training in Beijing: sharing our knowledge with chinese professionals and the public

We shared our knowledge with professionals in the solar energy industry in China during Assessment of solar resource measurement technology exchange event.

Annual average values of solar resource and temperature are now available for free via iMaps
Solargis news

Annual average values of solar resource and temperature are now available for free via iMaps

From today onwards, we are also opening access to long-term annual averages of key solar parameters GHI, DIF, and DNI via Solargis iMaps prospecting tool.

Solargis presents new climData reports
Solargis news

Solargis presents new climData reports

We have developed new functionalities of reports that are available now through our climData.