Build scalable risk models and analytics

Leverage our API-based global climatic and risk data layers to build new or enhance your existing risk models and improve your decision-making and asset management.

  • historical data

    Historical data

    40+ years of complex historical data

  • multiple data sets data fusion

    Data fusion

    Compilation of processed complex Remote Sensing and Meteorological data

  • daily data updates continuously

    Data updating

    Regular data updating and quality control

  • seamless integration and connectivity with API

    Integration

    REST API for seamless integration in any application

import requests url = "https://api.answr.space/api:climate-variables/a-solar-rad" query = {"Input_point": "{"lng":-85.751572,"lat":38.256081}"} headers = {"Authorization": "Bearer eyJhbGciOiJBMjIjoiRVGwrR4gZKvY00bxZS 0W6mdhSXm9cM81lYjztG1tK5abIwNqaTERYUyyTEfMHCRorC947kev01MReZKHSJxWDb"} response = requests.get(url, headers=headers, params=query) data = response.json() print(data) { "CV45_M1": 2.02, "CV45_M2": 2.84, "CV45_M3": 4.03, "CV45_M4": 5.09, "CV45_M5": 5.88, "CV45_M6": 6.43, "CV45_M7": 6.12, "CV45_M8": 5.53, "CV45_M9": 4.53, "CV45_M10": 3.59, "CV45_M11": 2.27, "CV45_M12": 1.85 }

API-driven development

We are encouraging highly distributed and modular application architectures by offering use case-based API endpoints for maximized application flexibility and scalability.

Get real-time access to climatic and risk data layers directly into your workflows by proving only geographic coordinates.

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Integrate answr into your applications

API-driven development has become integral part to all modern applications and services.

Provide the geographic coordinates, and get in real-time climatic and risk data directly into your workflows and use cases.

climatic statistics variables

Climatic Analytics

  • Average and standard deviation of the total volume of liquid water (mm3) precipitated over the period 00h-24h local time per unit of area (mm2), per day.

  • Average and standard deviation at a height of 10 meters above the surface over the period 00h-24h local time.

  • Average and standard deviation of the snow depth over the period 00h-24h local time measured as volume of snow (cm3) per unit area (cm2).

  • Average and standard deviation of the content of liquid water in a surface soil layer of 2 to 5 cm depth expressed as m3 water per m3 soil.

  • Average and standard deviation of the maximum temperature of air in Kelvin at a height of 2 meters above the surface.

  • Average and standard deviation of the minimum temperature of air in Kelvin at a height of 2 meters above the surface.

  • Average and standard deviation of the number of consecutive days with less than 1 mm rainfall height per month.

  • Average and standard deviation of the number of consecutive days with less than 0 degrees per month.

  • Average and standard deviation of the number of consecutive days with maximum temperature more than 25 degrees Celsius per month.

  • Average and standard deviation of the number of continuous days with more than 1 mm precipitation height per month.

  • Average and standard deviation of days where TN < 0 ℃ is counted.

  • The Standard Deviation Heating Days are defined as the sum of T1 - TG, where only values TG < T2 are considered. If T1 and T2 are omitted, a temperature of 17℃ is used for both parameters.

    The average heating degree days are defined as the sum of T1 - TG, where only values TG < T2 are considered. If T1 and T2 are omitted, a temperature of 17℃ is used for both parameters.

  • The universal thermal climate index (UTCI) is a human biometeorology parameter that is used to assess the linkages between outdoor environment and human well‐being. Thermal comfort indices describe how the human body experiences atmospheric conditions, specifically air temperature, humidity, wind and radiation.

  • Average and standard deviation of days with less than 0 Celsius temperature.

  • Average and standard deviation of days with precipitation.

  • Average and standard deviation of days where the daily precipitation flux is at least 10 mm is counted.

  • Average and standard deviation of days where the daily precipitation flux is at least 20 mm is counted.

  • Average and standard deviation of days where the daily precipitation flux is at least 50 mm is counted.

  • High resolution climatic zones

natural_disasters

Natural Disasters

  • Cold wave duration hazard refers to the length of days where the daily minimum temperature is less than 5℃ from a centered six day average. The hazard has 3 severity levels (Low, Moderate, High). Low cold wave hazard intensity corresponds to 5 and 6 days, moderate to 7 and 8 days, while high to more than 9 days. For each of the severity levels, cold wave duration hazard is calculated for each of the 12 calendar months. The returned values of the cold wave duration hazard are probabilities of exceeding the above duration thresholds per severity class per calendar month

  • Drought hazard refers to the consecutive dry days that might occur during seasons. Dry days are the days at which rainfall height less than 0.1mm is measured. Drought hazard has four severity levels (Low, Moderate, High, Extreme). Low drought hazard corresponds to 30 to 50 days without rain, moderate to 50 to 75 days without rain, high to 75 to 80 days without rain, and extreme to more than 80 days. For each of the severity levels, drought hazard is calculated for each of the 4 seasons. The returned values of the drought hazard are probabilities of exceeding the above duration thresholds per severity class per calendar month.

  • Flood hazard refers to the height in meters of sudden or non normally present appearing water. Flood hazard, in contrast to other natural disasters, is provided with the potential occurrence height (severity) for different return periods (10, 20, 50, 100, 200, 500 years) instead of probabilities of exceeding a threshold.

  • Windstorm hazard refers to the average wind speed expressed in m/s. The hazard has 3 severity levels (Low, Moderate, High). Low windstorm hazard intensity corresponds to wind speed between 15 and 20 m/s, moderate to wind speed between 20 and 22.2 m/s, while high to wind speed more than 22.2 m/s. For each of the severity levels, windstorm hazard is calculated for each of the 12 calendar months. The returned values of the windstorm hazard are probabilities of exceeding the above wind speed thresholds per severity class per calendar month.

  • Heat wave duration hazard refers to the length of days where the daily maximum temperature is more than 5℃ from a centered six day average. The hazard has 3 severity levels (Low, Moderate, High). Low heat wave hazard intensity corresponds to 5 and 6 days, moderate to 7 and 8 days, while high to more than 9 days. For each of the severity levels, heat wave duration hazard is calculated for each of the 12 calendar months. The returned values of the heat wave duration hazard are probabilities of exceeding the above duration thresholds per severity class per calendar month.

  • The wildfire frequency occurrence layer refers to the number of times a wildfire is detected using satellite images. The number is returned as ‰ (per mill).

  • The extreme cold probability refers to the hazard of environmental conditions can cause to the human body. This layer refers to the probability of exceeding specific UTCI (University Thermal Climate Index) values.

  • The extreme heat probability refers to the hazard of environmental conditions can cause to the human body. This layer refers to the probability of exceeding specific UTCI (University Thermal Climate Index) values.

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agriculture

Agriculture

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