The Weather and Sea Transport. Using Forecasts and Weather Maps for Effective Route Planning

Posted on 2017-12-11 13:55

It isn’t possible to affect weather conditions, but what is possible is to predict them.
Services currently available provide not only accurate up-to-date weather reports, and forecasts for different time-periods, but they also provide visual displays of various weather phenomena on weather maps, allowing a quick assessment of the overall picture. For such a weather-dependent industry as sea transportation, receiving timely accurate and visual information is particularly important.

Sea transport is one of the most tried and trusted ways of delivering cargo. Shipping lanes don’t need rebuilding or to be kept in working order. This is precisely why sea freight doesn’t cost as much as other modes of transportation.
Its main disadvantages are the long delivery time and the dependence of the vessel on weather conditions.
The most important meteorological variables which determine sailing conditions for sea vessels are the wind and those things which are dependent upon it: the condition of the water’s surface, precipitation, and temperature.

The Wind
The critical wind threshold for sea transport is lower than that for overland transport. According to a technical study carried out in the 50s and 60s, a fair wind increases the speed of a sea vessel by approximately 1%, whereas a head wind can reduce it, depending on the size of the vessel and its load, by 3-13%. More significant in its effect on the vessel are the sea’s waves caused by the wind. When waves reach higher than 4m, sea-going vessels are forced to slow down or change course. With high waves, the duration of the voyage, fuel consumption, and the danger of damage to the cargo rise sharply, thus, based on meteorological data, a route is plotted to circumvent such areas.

Precipitation and Cloud Cover.
Heavy precipitation reduces visibility and affects radar function. Bright flashes from reflected sunlight also make for poor visibility, necessitating a change in course and reduction in speed.
It is vitally important to have timely information about such phenomena as thunderstorms and cumulonimbus clouds; waterspouts and severe squalls are fraught with danger for ocean-going crafts. Equatorial waters are also associated with the risk of tropical cyclones - typhoons, hurricanes, and so on.

Air Temperature.

Dropping temperatures bring the risk of sea-vessels icing-up. More often than not this is a problem for sailing in high latitudes, however in air temperatures of lower than zero it can occur in middle latitudes too, especially in strong winds and rough seas when there is a lot airborne spray. The main danger with icing-up is the rising in the vessel’s center of gravity due to the build-up of ice on its upperworks. Heavy ice formation renders the vesselunsteady, and brings the very real threat of capsizing.
Air temperatures dropping below 0 ° C (32 ° F) makes the crew’s work more difficult as the water, thrown up as spray or forming a fine mist, accumulates as ice, making operations on deck hazardous to perform.

In such circumstances, accurate weather data, both forecasts and current reports, has a crucial influence on plotting routes, making for a much faster and economically efficient voyage with minimum risk to the vessel and its cargo, and with maximum safety for the passengers and crew.
For plotting intercontinental sea trade routes, historical data is particularly useful. It is also used in compiling timetables for passenger ships and in the planning of marine transportation.

Weather Maps as a Tool for Displaying Weather Events. The Weather Map Service

Weather maps are a visually intuitive way of analyzing large-scale weather events such as cloud cover, pressure, rainfall, and monitoring them in real-time.

Our Weather Map service provides the capability of combining and visualizing satellite and meteorological layers on the same map.
All currently available sets of data on snow, wind, precipitation and cloud cover can be input onto the map to display the desired combination of weather for any given route.
For example, using our tool to customize weather maps Map Editor 2.0 it is possible to put weather data together with a variety of online maps, for example shipping lane charts, creating a combination of different weather layers.

We encourage you to try your own custom styled “weather maps” that can be connected to your map application or even to your professional GIS software that supports TMS or tiled rasters connection services.
Another way to expand the “Weather maps” service capabilities is to add forecast and history requests. Although this possibility is not available in freely accessible API now - just hit us up if you are interested in such kind of service. 

Implementation of modern meteorological models for improving the performance of solar power stations

Weather and climate conditions are some of the primary factors influencing the performance of renewable energy power plants, particularly the performance of photocells in solar batteries.

Weather factors.

Obviously, the intensity of solar radiation has the greatest effect. The efficiency of solar panels is reduced if solar radiation intensity is reduced or absent altogether.

Temperature
Solar batteries perform better at lower temperatures than in a hot climate. Electrical output may be more than normally efficient in winter, in temperatures below freezing.

Cloud cover
Solar radiation reaching the earth’s surface decreases as cloud cover increases. Solar batteries receive maximum sunlight on cloudless days with direct rays of the sun. These are the peak hours when they will be producing the most energy. The light received decreases as the cloud cover increases. Solar batteries will produce minimum usable energy on heavily overcast days. The batteries will work at half their efficiency when there is enough light for objects on the ground to cast a shadow.

Climatic conditions and topography.

To a considerable extent, climatic conditions depend on topography.Mountains, seas and oceans, large lakes and their location relative to each other exercise the greatest influence on the formation and behavior of clouds and on the temperature.This results in the amount of solar radiation in adjacent regions with different topographies varying radically. For example, mountains may get less solar radiation than neighboring foothills and plains. The amount of solar radiation in coastal areas may differ from inland figures.

Distribution of precipitation and temperature on the mountainous coast of Canada north of Vancouver 

All these factors need to be taken into consideration in designing plant infrastructure for planning electrical consumption and load.This makes the accuracy, and hence the source, of weather data very important.

Relevance of data is not guaranteed by proximity to a meteorological station in regions with complex topography, such as in mountainous areas or simply areas with sharp changes in elevation.
At present, complex weather calculation models, which it has become possible to generate using modern technologies such as IoT, Cloud Services, and Big Data, are used to obtain accurate weather data.

OpenWeatherMap weather service is based on the VANE Geospatial Data Science platform for collecting, processing, and distributing information about our planet through easy to use tools and APIs.
We are collecting data from weather stations and forecasts of meteorological services and research laboratories, combining long-term and short-term forecasts with real-time data from weather stations, processing them and immediately updating current weather and forecasts in our API. Today we have more than 40,000 weather stations.
Data is stored in the VANE database and processing with our unique algorithms to create interpolated data of current weather conditions anywhere in the world, as well as into a variety of weather maps.

You are invited to test the new web interface Query Builder for our Vane platform

You are invited to test the new web interface Query Builder for our Vane platform. 
You can use this simple tool to create your own map in just a few minutes, and with just one click receive a completed link for display on your site or app using a web map library like Leaflet, Open Layer, Mapbox and Google Map.

This version is an improvement over the previous one in terms of simplicity of use and layout. The user can select either one of the available data sources and the required combination of spectral bands or one of the derivative index products such as NDVI, EVI, etc. You can also set up display parameters, including clarity, contrast and gamma correction, or use one of the available schemes provided. After that, all you need is to get an API key and insert it in the prepared link, and you can use it in your programming product. 
We are ready to answer your questions and will be glad to hear any proposals you might have.

Accumulated precipitation data for agriculture

We are happy to announce our new API for the accumulated precipitation data. API based on historical data and focused primarily on users from the agriculture-sector.Accumulated precipitation data is calculated as a sum of all parameters for a peculiar period.

Precipitation, mostly rains, has a huge impact on agriculture. For the growing all the plants need a smallest amount of water at least, and rain is still one of the most effective ways of watering despite the development of modern technologies. Too much or otherwise too little precipitation is bad and even harmful for agricultural plants. Drought can destroy the harvest and can increase erosion as well as the overly humid weather is able to trigger a growth of unfavorable fungi. Moreover, various kinds of plants demand different amounts of precipitation. For example, some succulent species require little water while tropical plants need hundreds of inches of rain a year just to maintain their living. 
A fluctuation of precipitation amounts is quite substantial in continental climates. A fluctuation of month amounts is bigger than those of year. A considerable precipitation variation leads to situations when there is a precipitation lack during some years, and drought takes place thus forming the areas of unstable hydration. With a long absence of rains and at high temperatures the reserves of moisture in the soil dry out due to evaporation. A previous arid season brings a shortage of a crop yield even in a humid season as the harvest lacks time to ripen. Thus disadvantageous conditions for an ordinary plant development are established, and a crop yield of agricultural plants decreases or perishes.   
Along with precipitation amounts, the number of days with precipitation a month or a year is also a significant climatic index. Plants are sensitive about a matter whether a given precipitation amount falls at once during only several days or it rains often and a precipitation amount is distributed comparatively evenly throughout a month. For instance, even one great downpour in a prairie area in summer has a little ability to improve an arid situation. 
Employing a data set of a precipitation amount and a number of days one can calculate an accumulated precipitation amount for any region during a specific period of time.

OpenWeatherMap weather data for a smart home. Relative humidity

Generally speaking, humidity is the amount of water contained in the air. And relative humidity is the ratio of the mass fraction of water vapor in the air to the maximum possible value of this quantity at a given temperature.

Usually the notion “climate” includes temperature and precipitation. Often such factor as relative humidity is forgotten. It’s necessary to mention that basically one pays little attention to that parameter. Temperature, wind speed, pressure – in this range air humidity is an outsider and improperly deprived of attention. However relative humidity is not only one of the most important articles in weather forecasts, but also one of the defining factors of well-being.

What are the risks behind low and high humidity indoor? 
The atmosphere at home defines the health of house inhabitants a lot. To maintain optimal humidity at home is a necessary condition of good well-being. Too arid or too moist air indoor quickly becomes a source of significant troubles. 
The air indoor is very dry in the heating season, especially in winter. Human body reacts to the lack of moisture with dryness of skin and tissue lining nasal passages, respiratory problems and eye irritation. The arid air contributes to dust diffusion which contains microorganisms and house dust mites. Dust mites are notorious for aggravating allergies in some individuals. The dry air is especially bad for children, whose dust allergy can proceed into bronchitis and asthma. 
High humidity in dwellings leads to formation of fungus on walls, ceiling, corners. The air saturated with mold and its spores is also not the best companion for healthy people to live with. 

How to provide humidity control at homes? 
For the proper humidity control it’s necessary to know a humidity level of your building specifically. The most reliable humidity controller is an accurate humidity indicator. However a humidity level indoor strongly depends on a level of moisture concentration not only inside a building, but also outdoor. In winter the difference between levels of humidity indoor and outdoor is considerable due to the heating systems. Indoor the percentage of moisture in the air is decreased to 15-20%. While the standard humidity rate is 30-60%, and the medium level of comfort has 45% humidity rate. Moreover, these rates are not the same for everybody: they depend on climate, season and dwelling territory. For example, the most comfortable humidity level for Central Europe varies from 40% to 65%. During the winter, the medium level is 50%, and if you live in the tropics, this value is higher. 
To calculate a humidity level which is comfortable and carrying no harm neither people, nor house interior at this very moment, accurate and actual weather data is necessary. 
OpenWeatherMap provides such data for companies throughout the world. This data includes the current and historical weather data and forecasts. And we are very happy to make the lives of people more comfortable and perhaps even save their health.

Pilots are eager to fly. How weather data help to find an airway

Let's consider one of the new interesting cases where weather data by OpenWeatherMap is used. 

Usually it's not a quick and easy deal for pilots to find an air corridor with appropriate weather for flying. Sometimes a search for a starting point of a flight and for its destination point takes up to 1-2 hours. ParaglidingStart.info is an application which uses real-time weather data by OpenWeatherMap alongside with information from many other sources. The application shows the current weather for possible starting points of a flight. There also can be found forecasts and other information like the description of the areas or the airspaces. One can implement further features for the pilots in the future.

Pilots are eager to fly, not to spend time looking for airspaces appropriate for flying. And OpenWeatherMap team is happy that our data help them to do so.

Intellectual management of buildings. Weather API

Intellectual management of buildings simultaneously solves 2 crucial tasks: it lets decrease  electric power cost and reduce CO2 emission and it all together has a positive effect on ecology.  
For the present moment there exist ready solutions which allow reasonable management of all the equipment: lighting, air conditioning, ventilation, heating, cooling, secure systems, etc.
Effective tools of monitoring observe functioning of a building in real-time mode: the tools calculate energy consumption, analyze current technical issues, trace surplus of CO2 and its emission.
The analysis of data received with the monitoring tools also implements management of processes taking place in buildings remotely. For getting actual information, one needs only to launch a browser.     

And here an easy access to a huge storage of data arrays is really necessary: data of different kinds comes constantly and is being processed in real-time mode. 
Our OpenWeatherMap team is happy to know that our development of weather APIs which are used as a part of global solutions in such projects throughout the world contributes to increasing of energy effectiveness and thus helps to improve ecological situation.   

UV radiation: Its influence on ecosystems. The tools for secure monitoring — API for UV-index

In recent years, the question of changes happening to a phenomenon of ultraviolet radiation at the earth’s surface attracts increasing attention. The influence of ultraviolet radiation on the life on the Earth is immense. It is enough saying that ultraviolet radiation is one of the most important factors for evolutionary progress of nearly all living creatures. Various ecosystems in their development process have adapted to a level of UV radiation to some extent anyway. Thus it is crucially important for successful functioning of these systems that the UV level stays within a specific range as its abrupt shift can lead to serious consequences, to negative ones and however sometimes to positive. These shifts take their toll on the all ecosystems such as vegetation, freshwater habitats and sees, and certainly they have a strong effect on human activity.

Plants do have the ability to recover, but when a received radiation dose exceeds their regeneration ability so then damage is inevitable. UV radiation damage becomes apparent in decreasing of crop yield and fertility, in lowering of quality of goods and in ecological aftermath such as the change of proportion of cultivated plants and weeds.

It’s also necessary to consider here that UV radiation reduces the wear resistance of materials employed for outdoor usage. Even a slight increase in the level of UV radiation drives to diminishing of a service life of external facilities and to rising of repair and replacement costs. Nowadays effective researches are conducted to register the influence of UV radiation on a human body, and that influence can be beneficial, and what’s more it’s essential for a regular vital activity, and it can be almost destroying for a lively creature.

Data on intensity of UV radiation is highly required recently. Particularly when speaking about substantial changes of climate which are happening now and which are obvious to any ordinary person without any sensitive measuring instruments.

That’s why there are currently in need the tools for secure monitoring and forecasting of these changes, for development of successful management of possible consequences and for reliable assessment of current and future context.

Fortunately, this tool really exists and has been in operation for some time already. Over the past few years, OpenWeatherMap company has provided a significant data volume on UV-index. We deliver UVI current data as well as daily forecasts for a period of 8 days for any locations. Also we have started accumulation of historical data actively.

Then recently we have greatly improved the quality of provided data, that’s our API for UV-index. For example, now there is a new feature to request data on any geographic coordinates without limits on accuracy.

Accuracy of UVI modeled data has been increased twice (the interpolation grid step decreased from 0.5 to 0.25 degrees).

Soon the support of search by city name, city id and zip-code will be available.

You can find the instructions here http://openweathermap.org/api/uvi

Model of climatic parameters calculation for single fields

There is a source at http://agromonitoring.com where we suggest several simple examples of what you can create in your application with the help of our weather data.
For each of polygons/fields ( how to draw a polygon with visual tools ) you can set graphical presentation of climatic parameters, for instance, as charts for 3-hour forecasts for 5 days ahead and daily forecasts for 14 days ahead.
At the moment there are only temperature data in the application, but our weather API provides any data on pressure, clouds, wind, temperature, max/min temperature etc.

3-hour forecast for 5 days ahead

Visual presentation of historical data for a single field.

In this example the historical data are limited by a week period, but using our historical data API you can get them for any period for the last 5 years (check http://openweathermap.org/price)

Accumulated parameters.

These graphs show a sum of accumulated precipitation and accumulated temperatures.
Accumulated temperature data is an index that denotes an amount of warm. This index is determined as a sum of average daily air and soil temperatures which exceeds a definite threshold of 0, 5, 10 degrees or a biological minimum of temperature level which is crucial for some specific plant.

Accumulated precipitation data is calculated as a sum of all parameters for a peculiar period.

Now this data is available only at agromonitoring.com and is calculated basing on our historical data.
Soon we plan to launch new APIs that will  provide already calculated values of accumulated indexes for a definite region.

The weather alerts on our meteorological data

The weather alerts are ones of the tools that we offer for agricultural monitoring of fields http://agromonitoring.com/. For your convenience we have designed an interface for our API where you can create triggers for a polygon of any shape. These triggers will work out in case of emergence of specified weather conditions (temperature, humidity, pressure, etc.) during a certain period of time.    

For example, there is a field where some plants are inclined to suffer from freezing, while other plants need measures to be taken in case of strong wind – and you can easily get this information with our tool. Just set specific trigger conditions and if they happen you will get a program warning.  

Four simple steps for working with Weather Triggers API:

1  Create an account in members area and receive a key to access API.
2  Name your field and draw a polygon with visual tools. 

 

3 Create the trigger with the necessary conditions for temperature, pressure, humidity, wind speed, wind direction and clouds.

Parameters description: 

The Start and the End fields define the time period.
These fields also contain nested structures describing the beginning and the end of a time interval which is used to check the conditions.
The beginning and the end of a time interval represent a set of instructions for dynamic timestamp estimation. Timestamp is calculated considering the current time at the moment when conditions are being checked.

Parameter	Description
amount	Number of milliseconds
expression	Specifies how to process value of the amount field

 
The field Expression has three admissible values:

• exact - the field amount will be interpreted as a timestamp indicating an exact date/time
• аfter - the field amount will be interpreted as a number of milliseconds, which needs to be added to the current timestamp at the moment of validation to receive a chosen date/time.
• before - the field amount will be interpreted as a number of milliseconds, which needs to be subtracted from the current timestamp at the moment of validation to receive a chosen date/time.

The field Сonditions contains an array of objects describing the parameters that are used to do the comparison.

Parameter	Description
name	The name of the parameter to be compared with
expression	The expression, which will be used to compare
amount	Numerical value to be compared with

In the field name the following values are allowed: temp, pressure, humidity, wind_speed, wind_direction, clouds. Value of the name field specifies the corresponding parameter in a response from the Weather API that will be compared with.

The field expression indicates how exactly to perform comparison. The following values are available:

$gt - more than a value specified in amount.

$lt - less than a value specified in amount.

$gte - greater than or equals to a value specified in amount.

$lte - less than or equals to a value specified in amount.

$eq - equals to a value specified in amount.

$ne - not equals to a value specified in amount.

4  Check our service and receive information about an occurrence or a forecast of the upcoming events, which you are interested in.

See further: 

API documentation for Weather Alerts http://openweathermap.org/triggers 

Weather Alerts structure -  http://openweathermap.org/triggers-struct

Open Dashboard for Agricultural Monitoring

Today we’d like to show you what you can do with our data. Open Dashboard for Agricultural Monitoring (http://agromonitoring.com/) is a presentation of possible use of weather and satellite data in your agriculture applications. This is a service where everyone can find weather data and satellite imagery of their fields easily through our APIs. All you need to do is just to register, to draw a polygon and you get all the necessary stuff in an instant.        

Here you can evaluate a condition of fields from satellite imagery and get clear information for analysis of the dynamic changes taking place on these fields. Also this service provides weather data for any specified area: forecasts, historical data and notifications about critical weather situations for a stated period.

Watch your fields with open weather data and satellite imagery.

Create your fields and use the full range of open services on weather and satellite imagery

Field shape:

• Draw a polygon with visual tools.

Weather:

• 3-hour forecast for 5 days ahead
• Daily forecast for 14 days ahead
• Historical weather for 1 week past
• Accumulated parameters (for accumulated temperature and precipitation the historical data should be customized)

Vegetation indexes:

• NDVI on Landsat 8 and Sentinel 2

Build alerts on weather parameters:

 -  Weather triggers that flash on in case of the selected weather conditions (temperature, humidity, pressure, etc.) happening in a specified period of time. For example, you are interested in the forthcoming frosts or the probability of a wind speed increase in a certain place.

We are happy to announce that one of our products — API for UV-index has got significant improvement

We are happy to announce that one of our products — API for UV-index has got significant improvement.
- Now besides current and historical data, you can also get UVI forecasts for periods of 8 days.
- Syntax has got considerably easier, it has become clearer and more unified like other APIs version 2.5.
- There is a new feature to request data on any geographic coordinates without limits on accuracy.
- Accuracy of UVI modeled data has been increased twice (the interpolation grid step decreased from 0.5 to 0.25 degrees).
- Soon the support of search by city name, city id and zip-code will be available.

You can find the instructions for the updated version here http://openweathermap.org/api/uvi

Please pay attention that during 2 weeks UV-index data will be in open access. Further, access to this data will be available only for paid plans starting from Developer. For more information on our plans please visit http://openweathermap.org/price

The previous version of API (http://openweathermap.org/api/old-uvi) will be announced deprecated soon, and no support will be provided for this version.

We are glad to introduce a new version of our satellite image processing platform VANE

We are glad to introduce a new version of our satellite image processing platform VANE.

So, what’s new:

Now a request with an error or invalid values will return a response with the recommendations on how to fix it. Also the validation of values became stricter. For example, the “select” parameter takes only a definite amount of bands. Parameters’ specifications themselves have gone through some changes

You can find  the detailed description here http://owm.io/vaneLanguage.

It’s easier to work with colors now by using default color schemes and palettes. A corresponding default color palette is automatically generated depending on an operation (the “op” parameter) and a current data source (the “from” parameter). And of course you can make your own color scheme.

VANE Global Base Map

The product we are launching today continues our freemium strategy — Global Base Map. It’s available as a part of VANE platform and opens the easiest way to start working with satellite imagery and connect it to your own application.

You can choose from a number of presets that provides imagery in a way most fitting for your project. And as a result you get the tile URL to connect maps to your client apps with the instant access.

Get your #satmap at owm.io/sat

The product remains free for open satellite imagery and will be extended with commercial satellites with higher resolution and cadence.

The free for all “VANE Global Map” constituted of middle resolution Landsat and Sentinel imagery — still continuously updated as new imagery become available. To make a global mosaic we applied special color processing algorithms for both of the imagery data sets, thus it can be used in one single layer as opposed to Landsat-only or Sentinel-only mosaics.

And for low-zoom levels (1–5) — to observe Earth on a daily or hourly time basis — we added low resolution imagery from Aqua and Terra satellites that can be vividly combined with weather layers — previously we posted about this part of the work on our blog. We process MODIS imagery in minimum time as for Web Mercator based apps — which means you can get tiles directly in any popular mapping library from Google Maps to Leaflet. The delay between satellite overpass and the publishing on our server is about 2 hours, yet we look forward to reducing this time. About every 30 minutes new imagery comes from each of satellites.

MODIS — Aqua and Terra layers on the Global Base Map powered by VANE platform

What could be even more fascinating about Global Satellite Map — you get it not only in one RGB state (as we get used to browsing on web-mapping services) or not only in the provided number of presets but with all capabilities that are brought to you by the power of VANE Language — select, combine, apply color processing and more.

All operations you can do with imagery online including applying your own analytcs algorithms and raster calculation formulas — this is the next step we are looking forward to move to, meanwhile you can learn some of these advanced functionality from JUPYTER based examples.

For now developers of Smart Farming applications can get a vegetation map (so called NDVI) from the same base map and calculate NDVI values to detect the amount and healthiness of a vegetation and compare its dynamics for the certain area of interest.

Global Base Map — Terra and Aqua layers

As a part of the Global Base Map plan, an easier way to start to work with satellite imagery and services provided by VANE platform, we have added low resolution imagery from Aqua and Terra satellites (aka MODIS). This kind of imagery enables Earth observation on a daily and hourly time basis and can be vividly combined with weather layers (previously we’ve posted about this part of the work on our blog). The delay between satellite overpasses and publication of the imagery is about 2 hours, this is the minimum time delay for Web Mercator version of this kind of satellite imagery, yet we look forward to reducing this time. About every 30 minutes new imagery comes from each of satellites.

Personally, I’m a big fan of NASA GIBS MODIS — where one can browse and download nearly all the products that can be generated based on MODIS imagery. But those who use this service as a real-time API, as I did, know the issue with the time delay and transparency (due to synchronization issue of the “no-data” layer). That’s why we decided to process low level data for Global Base Map.

In the sample image below showing the comparison of VANE and NASA GIBS layers as for Terra satellite, the divider’s bar defines the time difference between one and the other, which is about 3–4 satellite passes for mercator projection and 1–2 for latlon which is the default projection for Worldview. Also there is some issue to use GIBS layer with a transparent background to overlay it on base maps. You can check this example live at http://owm.io/cases/test-modis and you can get the both of the layers at http://owm.io/modis

THE COMPARISON OF VANE AND NASA GIBS LAYERS AS FOR TERRA SATELLITE IN WEB-MERCATOR PROJECTION

Next step we are going to bind this layers in one single mosaic to add it to “Weathermap” application where it can be combined with weather layers and to provide it through VANE API for everyone. (Stay tuned to know about “Open Satellite map” that’s coming pretty soon.)

To start using these maps from third-party applications and to get tiles from server you have to generate an API key under your personal Openweathermap account — thus users can use it in a vast range of clients from GIS desktops to web-mapping libraries (see more detailed description and examples). You can sign in under your Openweathermap account or create a new one.

OPERATIVE TERRA IMAGERY FOR THE CURRENT DATE (13 MARCH) COMBINED WITH PRECIPITATION LAYER — BOTH LAYERS ARE GENERATED ON THE TOP OF VANE PLATFORM