Delivering weather intelligence with a single source of truth, enabling consistent decision making across water organizations 

Global Weather and Climate insights available through a convenient, single API endpoint

Global Weather and Climate insights available through a convenient API endpoint

Meteomatics’ API provides a one-stop Solution for the Water Industry

  • Access a rich database of global weather and climate - across all time scales. Giving users the opportunity to request data covering all weather and climate time periods 1978 - 2100 using a single API query!

  • Discover the benefits of Meteomatics forecast downscaling factoring in topographical influences, to achieve a more accurate forecast (90 meters horizontal)
  • Utilize Meteomatics global ensemble forecasts and tropical storm tracks, to get insights into likely tracks and storm intensity for risk awareness and operational decision making.

  • Meteomatic's offers a number of frost forecast parameters to help business protects vulnerable assets, such as pipes.

  • Understand the importance of calibrating forecasts with local observations to further improve forecast quality.
  • Apply downscaled global reanalysis data to train machine learning and artificial intelligence-based applications (data coverage: 1979 to present).
  • Better manage the risk of a changing climate can bring to your operations and infrastructure, with access to climate projection data & consultancy.

Meteomatics API is already trusted by renowned and respected water companies, delivering valuable insights to achieve innovative solutions that can reduce operational risks and better respond to consumer demand. Plus, the capability to prepare, plan and implement mitigations to the changing climate and associated weather risks.

Revolutionizing How Operational Decisions Are Made Throughout The Water Industry

We understand the operational challenges weather can bring to the water industry, Meteomatics has created a rich database of >5 petabytes of weather and climate data, with industry-specific weather parameters and indices, all accessible through a single API endpoint that retrieves data at very low latency.  Bringing a consistent method of accessing data quickly and providing a single version of the truth, vital when making informed operational decisions. Plus, Meteomatics’ API provides consistent data access and a range of intelligent data services to support innovation, with data science and machine learning applications increasingly utilized by water companies to extract further insights, and correlate weather impacts on environmental conditions and demand. 

Meteomatics database contains important weather insights required at incredible accuracy, delivered by downscaling forecasts to take into account the effects of the local topography at 90m horizontal and 5-minute timesteps, which include humidity: pressure: precipitation: evaporation: temperature and wind. Plus, we calculate other parameters important for the water industry such as evaporation and dew point, available for any lat / long on the globe.

Meteomatic’ API compatibility with a range of open-source data connectors and Meteomatics own forecast visualization tool MetX, which is built on top of the Weather AP and removes the requirement of operational meteorologists to work with complex, multi-dimensional data directly. MetX is used to present multimodal weather information to forecasters on demand and allows users to interpret, annotate and share these forecast data sets instantaneously, both within the water company and with external stakeholders

 

Meteomatics Weather API informaing operational decision making in the Water Industry

Importance of Consistent Weather Data Across Waste and Clean Water Functions 

The nature of operations within the water industry often requires a large number of weather data sets to inform decision making, which can be in different data formats and work with specific software. 

Sometimes, the volume of data sets can become difficult to manage and maintain, bringing the risk of disparate decision making, as decision-makers may not use the same data and reach different conclusions, despite them having an impact on another function within the same organization. Important, when considering the potential impact on waster treatment and processes used in clean water, bringing reputational risk and potential action from industry regulators:

  • Hyper-local precipitation forecasts & nowcasts
  • Catchment modelling and hydrological forecasts
  • Flash flooding forecasting 
  • Weather warnings and alerts - customizable to meet your weather thresholds
  • Better manage pipe-freezing ‘freeze-thaw events with Meteomatics related weather parameters
  • Reports and risk assessment - Meteomatics offers reports on recent seasonal & how these might change for precipitation, temperature, and others, as part of our climate service

Meteomatics' Weather API consistent access to a rich Database to better inform Decision Making and drive Innovation

Anglian Water utilizes Meteomatics' Weather API

Challenge

Anglian Water wanted to rationalize the number of weather data sources to better inform operational decisions & support its innovative ambitions

Anglian Water Services wanted to breathe new life into their innovation processes, to develop a pipeline of new services and at the same time rationalize their sources of weather data from many down to one single view of the truth. They also wanted the data to be made simply available in formats that would work with existing products and services whilst meeting the needs of their newly formed Data Science Team.

Solution

Meteomatics' Weather API was quickly integrated across the whole Anglian Water Services business. The various business units, including Waste Water and Clean Water, were able to quickly integrate the Weather API thanks to the wealth of historic data available and open-source connectors, such as Power BI, allowing users to immediately gain insights and add to their existing workflows, and data infrastructure. Meteomatics also provided meteorological data consultancy that was highly valued and enabled Meteomatics to contribute directly to a variety of innovation projects

Result

Anglian Water Services have made significant savings in terms of weather data costs, streamlined from 20 down to one supplier and are now benefiting from quick and easy access to weather data for their Data Science Team as they develop innovative solutions with their Alliance partners for the benefit of business and its customers

Weather Intelligence Empowering The Water Industry

 Access a rich weather database of information including thousands of standard and derived parameters, created to help the water industry solve more operational challenges that are impacted by weather

global weather data

Soil Moisture Index

Meteomatics has created a global soil moisture index to help the water industry determine the wetness of the soil depending upon the soil type.  The index is computed using the permanent wilting point and the field capacity, which both depend on the geographical location (soil type). The index is 0 if the permanent wilting point is reached and 1 at field capacity. Note that the index can exceed 1 after rainfall events. The soil moisture index is available for 4 depth levels.

Soil Moisture Deficit

Meteomatics has also calculated a global soil moisture deficit to help the water industry determine the difference between the actual water content of the soil and the possible water content that the soil can hold in mm. The amount of water that can be held is called field capacity. The calculation of the SMD is mainly based on soil water information in several depths as well as other meteorological parameters. The SMD is a useful tool in order to assess prevailing soil conditions like droughts. The SMD also depends on the soil type.

Soil Water Content

Meteomatics has calculated a global Soil Water Content to help the water industry understand the volume of water held with various levels of soil. The soil water content depends on the soil type, soil depth, and groundwater level.

radar-data-weather-api

Radar Coverage

Meteomatics understands the importance of radar capability to better forecast localized rainfall intensity and improves water companys’ post-event analysis. Hence, we ingest radar data from a large number of different national weather services, which is constantly growing to create a radar composite with broad geographic coverage, with all data accessible within the API. 

 

Meteomatics radar composite offers an industry-leading spatial resolution of up to 250 meters and a temporal resolution of 5 minutes. We also use radar data to create a nowcast using the latest radar imagery, lightning data and satellite cloud cover. Our nowcasts are available in 5-minute timesteps for the next 2 hours, giving water companies insights into real-time forecasted weather conditions.

hydro-power-data-api

Hydrological Catchment Modelling

Meteomatics’ customers are offered flexible and high resolutions catchment models, with small catchments run at 100m resolution. Plus we can also consider the impact of hydrological installations in our forecasts, including pipes, intake gates and dams.

Meteomatics provides forecast up to 5 mins for nowcasts, intraday, day-ahead and up to 15 days.

Meteomatics fully distributed model can give forecasts for points for which no measurements are available (which is not possible with lumped models). We can also provide seasonal forecasts for customized reservoirs.

Areas of hydrological interest can simply be defined within the API query, with users able to download the forecast and make WMS requests. Allowing customers to visualize data in a huge range of visualization software. 

temperature

Meteomatics Lake Temperature Model

A radiation-based model, calculating a forecast of the surface temperature lakes and has important safety applications to help inform leisure activities on lakes owned or operated by water companies. Forecasts are available for a vast amount of lakes within Germany, Switzerland and Austria, with more continuing to be added. Historical data is available back to 2015 and a 15-day forecast is provided daily. The resolution of the temperature data is 1 hour All accessed through Meteomatics API.

lake-reservoir-water-management

Meteomatics Reservoir and Lake Surface Area Time Series Data Set

A satellite-based data set that monitors the surface area of over 60,000 lakes and reservoirs. The dataset includes a time series of the surface area for each water body, as well as a shape file.

snowflake

Meteomatics Frost Forecasts

Meteomatics experience as a trusted weather supplier to water companies has helped Meteomatics develop and offer a number of frost forecast parameters to help business protects vulnerable assets, such as pipes. 

Meteomatics API includes frost depth below ground (cm): the probability of soil frost based on surface and ground temperatures.

re-analysis data

Re-Analysis Data Set (ERA5)

Reanalysis data provide the most complete picture currently possible of past weather and climate. They are a blend of observations with past short-range weather forecasts rerun with modern weather forecasting models. They are globally complete and consistent in time and are sometimes referred to as 'maps without gaps'.

 

Reanalysis data set can be of tremendous benefit for AI & ML applications, helping inform algorithms of the impacts of changes made to the forecast model; The ‘frozen’ forecasting system used in reanalysis provides a benchmark against which improvements can be measured: if there are gains in forecast quality relative to the reanalysis system, it must be because of changes in the forecasting system, and not because the atmosphere happened to be more predictable or better observed over the verification period.
Finally, reanalysis is essential for forecast products predicting anomalous or extreme weather. These require a reference climate, which reanalysis helps to provide.

 

Meteomatics enhanced downscaled reanalysis data based on ERA5, which is a global atmospheric reanalysis from 1979 to the present, continuously updated in real-time. ERA5 combines vast amounts of historical observations into global estimates using advanced modeling and data assimilation systems. The downscaling improves the coarse grid native representation down to a resolution of 90m. This is achieved by applying high-resolution land usage data, soil, terrain data, astronomical computations & other sources.

seasonal forecast weather api

Seasonal Forecasts

Planning water resources can benefit substantially from long-range weather forecasts, for the month or the season, which can help to optimize operations and deal more effectively with the adverse impacts of climate variability, including extreme weather events.

Meteomatics Climatological weather regimes are computed for cold (October to April) and warm (May to September) seasons, across four patterns:

    1.  A strong positive anomaly over the Greenland area, together with a trough elongating from the southwest to the northeast Atlantic Ocean.
    2.  An east-west dipole, [...] associated with a pronounced wave structure
    3. A trough centered over Iceland together with a small-amplitude. positive anomaly in the southern part of the domain.
    4. A ridge in mid-Atlantic.
storm-surge-data

Meteomatics Storm Surge Model

The model includes the surge amplitude parameter that is available globally and provides an accurate forecast of the abnormal sea-level rise, as a direct result of a storm. The surge is influenced by the orientation of the coastline with the storm track, the size, and intensity of the storm, and the local bathymetry. 

The availability and accuracy of the parameter enable water companies to mitigate and respond to these severe events, as they are able to share the forecast data set with all operational stakeholders easily and therefore, improve communication between decision-makers, increasing the likelihood that serious impacts can be prevented from occurring, such as the contamination of clean water and sewage spillage. 

Access Meteomatics Climate Projections Data and Impact Assessment Reports

Even in an (increasingly unlikely) +1.5°C world, weather conditions can be expected to be quite different from today. Hence why the world's richest Weather API has now incorporated climate projection data.

Meteomatics sees an urgent and critical need to help organizations prepare and plan for a changing climate. Therefore, we now make CMIP6 climate projection data created by the Meteorological Institute of Japan (MRI) available and offer our expertise in weather and climate science to help the insurance industry understand the potential impact of Climate Change.

Climate Projection Data 

Meteomatics’ customers are able to request the latest CMIP6 data across all 5 social economic pathways, out to 2100. Meteomatics Meteorology and Climate Science Teams have applied their expertise to standardize and process raw climate projection data: making it easier for the water industry to consume and integrate with their existing data infrastructures.

Meteomatics has sought to broaden the applicability of climate projection data by calculating around 40 derived parameters for temperature, wind, precipitation, and radiation. Examples include the wind direction at different altitudes, the minimum and maximum temperature at different altitudes, the global radiation in watts, joules, and other units, or the height of the planetary boundary layer. All helping to increase the usability and relevance of climate predictions to more users than ever before.

Plus, Meteomatics has also improved the detail and relevance of the climate projections by downscaling the horizontal resolution (90 meters), so that the climate projections take into account the local topography which is important considering its impact on temperature and wind. Finally, downscaling the temporal resolution (5-minute timesteps), which is useful for creating consistent time series. Combining historical, forecast and climate data can be very challenging in terms of different temporal resolutions. Meteomatics’ API allows for easy retrieval of homogeneous time series between 1979 and 2100 with any desired temporal resolution. This can be quite important in the scope of investigations of certain weather patterns or machine learning.

Assessing and Informing Water Companies on Climate Risks

COVID-19 pandemic has brought the realization that fundamental change is required to overcome the global emission trajectory. It has highlighted the possible benefits of climate mitigation strategies in carbon-intense sectors such as aviation. It has also brought the realization that emissions could quickly return to previous levels, once travel restrictions are lifted. The implementation of long-term mitigation measures is going to take time. Hence organizations and industries now need to start understanding and preparing for the inevitable impacts of Climate Change.

Water companies have already experienced an increase in the frequency of severe weather, impacting assets and infrastructure, whilst also posing new operational challenges.  Water companies should now make strategic business decisions that factor in the potential effects of Climate Change in their analysis today.

Meteomatics Team of Meteorologists and Climate Scientists create detailed reports on the future climate impacts for your business and industry, working with you to identify long-term mitigation strategies.

Please get in touch if you would like to discuss running a climate impact analysis for your business or area of interest.