---
# System prepended metadata

title: Historical Bulk Data Platform
tags: [' Earth observatory', Historical Data]

---

---
title: Historical Bulk Data Platform 
tags: Historical Data, Earth observatory
description: World Environmental Data Platform.
---

#  Ambee Product Vision
Unleashing the power of data

<!-- Put the link to this slide here so people can follow -->
slide: https://slides.com/maddyanand/historical-data/fullscreen

---

We have a collaborative session

please prepare laptop or notebook to start!

---


## Why Ambee?

Ambee designs, builds, and launches earth observation data faster than any company or government in history by using lean, low-cost electronics, data aggregation, ML and design iteration.

---

Our data platform, which make up the world’s largest aggregation of Earth-imaging satellites and on-ground environmental sensors “extract infromation” of various aspects of the planet every hour to provide intelligent, insightful and actionable data. We launch new apis every 3 months

---

Ambee will soon be the world's largest environmental data intelligence platform with the highest constellation of data from earth observatory satellites and not just data, but applications and information that are actionable from it.

---

- Health of the planet is degrading
- Needs disruption, data and observation :muscle: 
- We are concerned about it and are driven to make impact :collision: 

---

Environment is volatile! Hence needs constant observation.
> “There is no way that we can predict the weather six months ahead beyond giving the seasonal average”
― Stephen Hawking, Black Holes and Baby Universes and Other Essays

---


#### Vision

We are on a mission to improve the health of not just hundreds of millions of people but of the planet itself by building a large cloud data and applications repository and cater to many who are affected by the affect of climate change

---

##### What is our purpose for creating Ambee? 

Health of the planet is important for the health of everyone on it. This health has been degrading and climate change is around the corner. Climate change is a risk or a threat to all businesses. Improving planet health and de-risking the climate change to businesses, meet SDG goals, stay ESG compliant and more requires sophisticated monitoring, measuring and managing. 

---

#####  What changes can it bring about?
It will impact the processes, products and people to mitigate the risk posed by climate change and continue to stay healthier, profitable and most importantly sustainable. It will also impact in fighting climate change.  

---

## Competition


Weather
[Competition Pricing](https://docs.google.com/spreadsheets/d/1J3JptLtuIImXibZIyeNuC59M8CkkIHbHNeC-EC62XWk/edit#gid=0)

[Pricing sheet](https://docs.google.com/spreadsheets/d/1jFSLDfTqZafYp1nYs6kcedB59AkVFQi3Tg3rgHKKDQg/edit?ts=60a4ae0a#gid=1948244586)

| Competition                                                  |     Duration     |      Output format | Pricing and Remarks                                                                                                                                            |
|:------------------------------------------------------------ |:----------------:| ------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [OpenWeatherMap](https://openweathermap.org/bulk)               |      30 yrs      |               CSV, JSON | +$10/location  for any time range and parameters. Parameters: dt	dt_iso	timezone	city_name	lat	lon	temp	feels_like	temp_min	temp_max	pressure	sea_level	grnd_level	humidity	wind_speed	wind_deg	rain_1h	rain_3h	snow_1h	snow_3h	clouds_all	weather_id	weather_main	weather_description	weather_icon [Pricing](https://openweathermap.org/price) |
| [Meteomatics](https://www.meteomatics.com/)                     | 42 years (1979+) | JSON, CSV, XML etc |1 year  1 city, daily, 1 param, Eu52 +Eu3.30/param  1 city, hourly, 1 param Eu127.95  |
| Weatherbit.io                                                  |     10 years (>10 custom)     |                JSON |API i/f only. 28 days data = 1 API call. $470/month for a mixed package [Pricing ](https://www.weatherbit.io/pricing) |
| [Accuweather](https://wwwl.accuweather.com/pro_login.php)| 20 years |TBD | Professional subscription|
| [Tomorrow.io](https://www.tomorrow.io/historical-weather-data/) |      10 yrs      |                TBD | Custom - mandatory sign up to get info|
|[Wunderground](https://www.wunderground.com/history) | | | US Only - ground stn data only, no download option|
|[Visual Crossing](https://www.visualcrossing.com/weather-data-editions) ||| [Packages](https://www.visualcrossing.com/resources/documentation/weather-data/visual-crossing-weather-packaged-options/) Custom Request on mail. Pricing: $5 per location - hourly data (Discounts available for single requests of more than 100 locations)|
|[MeteoBlue](https://www.meteoblue.com/en/weather/archive/export/india_el-salvador_3585481) ||| ERA5 too|
| [weatherOptics](https://www.weatheroptics.co/)|     TBD     |TBD | Coming soon|
|[Breezometer](https://www.breezometer.com/historical-climate-data)|||


Pollen


| Competition      | Duration | Remarks     |
| :---        |    :----:   |          ---: |
| [Breezometer] (https://www.breezometer.com/historical-climate-data)      | TBD       | newly updated |
| Accuweather      | 21 days       | $499 api plan|
| Ambee   | 30 years        | $20 per location per year  one click download      |


Air Quality

| Competition      | Duration | Remarks     |
| :---        |    :----:   |          ---: |
| [Breezometer] (https://www.breezometer.com/historical-climate-data)      | newly updated       | [old: Very costly, low granularity, their own AQI, only on request] newly updated   |
| Plume   | 1 year        | $999 for one year for one city      |
| IQ Air   | 3 year        | Custom Price      |
| AirNow   | NA (selfhelp)        | Missing data at times      |
| BSA   | Stations data 1 year        | Custom     |
| Ambee   | 30 years        | $20 per location per year  one click download      |




#### Target Users/Group/Sectors

#####  Which market or market segment does the product address?

* Agriculture (crop risk mitigation, crop cost estimation, yield)
* Healthcare (Lifestyle, fitness, therapeutics, sports, prevention)
* Pharma (Clinicals, Trials, P4P)
* Insurance/Risk Management (Health, Crop, Property & more)
* Government
* Education & Research
* Energy & Infrastructure (wind, solar)
* Forestry & Land Use
* Mapping
* Maritime
* Finance
* Sustainability (ESG, SDG, Carbon trading)
* Retail
---

#### Needs 

> “Further, your industry is constantly moving, and we must create products for where the market will be tomorrow, not where it was yesterday.”
> ― Marty Cagan, INSPIRED: How to Create Tech Products Customers Love

---

##### What problem does the product solve? and What is the size of the problem?

$650 Billion and Rising: The Current Cost of Climate Change
source(https://riskandinsurance.com/cost-of-climate-change/)

* $650 billion: the cost of climate disasters in the past three years.
* $415 billion: the cost of those disasters in North America. That’s 0.66 percent of the North American GDP.
* $54 trillion: the potential cost of damages due to global warming by 2040.

---

Billion-dollar disasters are becoming commonplace and risk professionals are concerned: The report comes on the heels of the National Oceanic and Atmospheric Administration reporting that 2018 had 14 disasters causing $1 billion or more — making it the eighth consecutive year with eight or more billion-dollar disasters. The NOAA reported that 2018 was the fourth hottest year on record.

---

#### Trajectory / Roadmap
``` mermaid
graph LR;
    Data-->Cloud;
    Cloud-->SaaS;
    SaaS-->CCS;
    CCS-->Satellites
    Satellites-->EOS;

```

---

### Product
Bulk History: The product will have hourly data and satellite images with a ** 5km resolution ** ie., interpolated (and multiple resolution) from multiple satellites from the year 1965 till date

Bulk Forecast: The product will also have forecast of all the following parameters for upto 7 years from current date

#### Engineering Architecture
High Level Architecture: 

![](https://hackmd.io/_uploads/BJpZ1_fdu.png)




---

#### Product Modules & Lo-Fi WireFrames

##### WireFrame

https://xd.adobe.com/view/1062cc8d-c83b-419c-ad67-d58f27e6cc05-4531/

##### Landing Page module
https://xd.adobe.com/view/d69d941a-d864-43e3-9a3a-98e921ba7313-83ce/screen/e8f7850d-2d0f-49b7-a399-a90f4bfac04a/

Dev server: http://hdp-dev.getambee.com.s3-website.ap-south-1.amazonaws.com/
##### Login Module (Sign up & register + Sign in & password reset)
##### 

##### Call flows
https://www.figma.com/file/0B6lywjXsaIZBFIkwhd8GI/Untitled?node-id=0%3A1

#### Product Catalogue Wireframe
https://xd.adobe.com/view/def6df43-3ee1-4691-83c7-33d8c5058376-8ba5/

#### Product Features -Historical data available for download: 
<details>
 <summary>Click to see all the possibilities</summary>

###### Air quality: 
Aerosols  
Air Quality  
Terrain: 
###### Altitude  
Ecosystems  
Frozen Ground  
Glaciers/Ice Sheets 


###### Atmospheric weather: 
Atmospheric Chemistry  
Atmospheric Pressure  
Atmospheric Radiation  
Atmospheric Temperature, Humidity, Precipitation, UV
Atmospheric Water Vapor  
Atmospheric Winds  
Atmospheric/Ocean Indicators  
Clouds  (Cloud pressure, cloud cover)

###### Ecological Dynamics  

Ground Water 
Infrared Wavelengths  
Ionosphere/Magnetosphere Dynamics 

###### Landuse Landcover: 
Land Surface/Agriculture Indicators  
Land Use/Land Cover  
Microwave  
###### Natural Hazards
Natural Hazards  

###### Oceanic Weather and more
Ocean Chemistry  
Ocean Heat Budget  
Ocean Optics  
Ocean Pressure  
Ocean Temperature  
Ocean Winds  
Paleoclimate Indicators  
Platform Characteristics 
Precipitation  
Protists
Radar
Sea Ice  
Sea Surface Topography 
Sensor Characteristics 
Snow/Ice 

###### Soil - Mitti and Earth - Dharti/bhoomi
Soils  
Solar Activity  
Solar Energetic Particle Flux 
Solar Energetic Particle Properties 
Sun-Earth Interactions 
Surface Radiative Properties 
Surface Thermal Properties 
Surface Water 
Tectonics 
Topography 
Ultraviolet Wavelengths 
Vegetation (NDVI, EVI)
Visible Wavelengths 

#### Data Sources: 

AC-690A CAR (2)
AEM-2 SAGE I (2)
Aqua AIRS (95)
Aqua AMSR-E (20)
Aqua AMSU-A (37)
Aqua HSB (13)
Aqua MODIS (39)
Aura HIRDLS (16)
Aura MLS (122)
Aura OMI (61)
C-131A CAR (14)
CORIOLIS WINDSAT (3)
COSMIC/FORMOSAT-3 RO (2)
CloudSat CloudSat-CPR (3)
Convair-580 CAR (4)
DMSP 5D-2/F10 SSM/I (3)
DMSP 5D-2/F11 SSM/I (7)
DMSP 5D-2/F13 SSM/I (7)
DMSP 5D-2/F14 SSM/I (7)
DMSP 5D-2/F15 SSM/I (3)
DMSP 5D-2/F8 SSM/I (4)
DMSP 5D-3/F15 SSM/I (4)
DMSP 5D-3/F16 SSM/I (6)
DMSP 5D-3/F16 SSMIS (2)
DMSP 5D-3/F17 SSM/I (6)
DMSP 5D-3/F17 SSMIS (2)
DMSP 5D-3/F18 SSM/I (6)
DMSP 5D-3/F18 SSMIS (2)
DMSP 5D-3/F19 SSM/I (6)
DMSP 5D-3/F19 SSMIS (1)
DMSP SSM/I (16)
DMSP SSMIS (5)
EP-TOMS SEAWIFS (2)
EP-TOMS TOMS (17)
ERBS SAGE II (2)
GCOM-W1 AMSR2 (21)
GMS INFRARED RADIOMETERS (1)
GMS VISSR-GMS (2)
GMS WVSS (1)
GOES AVHRR (2)
GOES GOES I-M Imager (1)
GOES GOES I-M SOUNDER (1)
GOES GOES-15 Imager (2)
GOES GOES-16 Imager (2)
GOES INFRARED RADIOMETERS (1)
GOSAT TANSO-FTS (7)
GPM DPR (21)
GPM GMI (26)
Himawari-8 AHI (2)
ISS OCO-3 (22)
J-31 CAR (4)
METEOROLOGICAL STATIONS RAIN GAUGES (2)
METEOSAT INFRARED RADIOMETERS (1)
METEOSAT SEVIRI (1)
METEOSAT VISSR-METEOSAT (2)
METOP-A MHS (8)
METOP-B MHS (8)
METOP-C MHS (7)
MT1 SAPHIR (7)
MTSAT MTSAT 1R Imager (2)
MTSAT MTSAT 2 Imager (2)
MTSAT-1R INFRARED RADIOMETERS (1)
MTSAT-2 INFRARED RADIOMETERS (1)
Meteor-3 TOMS (4)
Meteor-3M SAGE III (2)
Models/Analyses BLING (1)
Models/Analyses CASA-GFED3-V2 (5)
Models/Analyses CASA-GFED3-V3 (3)
Models/Analyses CLM-LSM (1)
Models/Analyses CMS-Flux-V1 (8)
Models/Analyses Catchment-LSM (10)
Models/Analyses ECCO2_Darwin-V3 (2)
Models/Analyses Environmental Modeling (2)
Models/Analyses FFDAS-V2 (2)
Models/Analyses Forcing-LSM (7)
Models/Analyses GDAS (1)
Models/Analyses GEOS-5 (2)
Models/Analyses GEOS-Chem (2)
Models/Analyses GLPM (6)
Models/Analyses IMERG (8)
Models/Analyses LANDMET (5)
Models/Analyses MERRA (215)
Models/Analyses MERRA-2 (99)
Models/Analyses MITgcm (1)
Models/Analyses MODELS (1)
Models/Analyses Merged IR (1)
Models/Analyses Mosaic-LSM (5)
Models/Analyses NCEP-CFSV2 (6)
Models/Analyses NCEP-GFS (4)
Models/Analyses NOBM (2)
Models/Analyses Noah-LSM (24)
Models/Analyses OBSERVATION BASED (2)
Models/Analyses Penman-Monteith (1)
Models/Analyses RM-OBS/PU (1)
Models/Analyses TMPA (9)
Models/Analyses Unified Model UM (1)
Models/Analyses VIC-LSM (10)
NASA P-3 CAR (6)
NOAA POES HIRS (1)
NOAA POES TOVS (2)
NOAA-10 HIRS/2 (6)
NOAA-10 MSU (10)
NOAA-10 TOVS (6)
NOAA-11 HIRS/2 (4)
NOAA-11 MSU (8)
NOAA-11 SBUV/2 (8)
NOAA-11 TOVS (4)
NOAA-12 HIRS/2 (8)
NOAA-12 MSU (12)
NOAA-12 TOVS (8)
NOAA-14 HIRS/2 (1)
NOAA-14 MSU (1)
NOAA-14 SBUV/2 (7)
NOAA-14 TOVS (1)
NOAA-15 AMSU-B (5)
NOAA-16 AMSU-B (5)
NOAA-16 SBUV/2 (8)
NOAA-17 AMSU-B (5)
NOAA-17 SBUV/2 (3)
NOAA-18 MHS (8)
NOAA-18 SBUV/2 (7)
NOAA-19 MHS (8)
NOAA-19 SBUV/2 (5)
NOAA-19 TOMS (2)
NOAA-20 ATMS (10)
NOAA-20 CrIS (6)
NOAA-20 VIIRS (2)
NOAA-6 HIRS/2 (1)
NOAA-6 MSU (5)
NOAA-6 TOVS (1)
NOAA-7 HIRS/2 (1)
NOAA-7 MSU (5)
NOAA-7 TOVS (1)
NOAA-8 HIRS/2 (1)
NOAA-8 MSU (1)
NOAA-8 TOVS (1)
NOAA-9 HIRS/2 (4)
NOAA-9 MSU (8)
NOAA-9 SBUV/2 (8)
NOAA-9 TOVS (4)
NPOESS (National Polar-orbiting Operational Environmental Satellite System ) WINDSAT (3)
NRL P-3 CAR (2)
Nimbus-1 HRIR (2)
Nimbus-2 HRIR (2)
Nimbus-2 MRIR (2)
Nimbus-3 HRIR (2)
Nimbus-3 MRIR (2)
Nimbus-3 SIRS (1)
Nimbus-4 BUV 
Nimbus-4 IRIS  
Nimbus-4 SCR  
Nimbus-4 SIRS  
Nimbus-4 THIR  
Nimbus-5 ESMR  
Nimbus-5 ITPR  
Nimbus-5 NEMS  
Nimbus-5 SCR  
Nimbus-5 THIR  
Nimbus-6 HIRS  
Nimbus-6 LRIR  
Nimbus-6 PMR  
Nimbus-6 SCAMS  
Nimbus-6 THIR  
Nimbus-7 LIMS  
Nimbus-7 SAMS  
Nimbus-7 SBUV  
Nimbus-7 SMMR  
Nimbus-7 THIR  
Nimbus-7 TOMS  
OCO-2 OCO SPECTROMETERS (2)
OCO-2 OCO-2 (28)
OrbView-2 SEAWIFS (9)
PARASOL POLDER-1
SCISAT-1/ACE ACE-FTS
SHIPS RAIN GAUGES
SMS-1 VISSR
SMS-2 VISSR
SORCE SIM
SORCE SOLSTICE
SORCE TIM
SORCE XPS
STPSat-3 TIM
STS-34 SSBUV
STS-41 SSBUV
STS-43 SSBUV
STS-45 SSBUV
STS-56 SSBUV
STS-62 SSBUV
STS-66 SSBUV
STS-72 SSBUV
SUOMI-NPP ATMS
SUOMI-NPP CrIS
SUOMI-NPP OMPS
SUOMI-NPP VIIRS 
Sentinel-5P TROPOMI
TIROS-4 Medium-Resolution Scanning Radiometer 
TIROS-7 Medium-Resolution Scanning Radiometer 
TIROS-N HIRS/2 
TIROS-N MSU 
TIROS-N TOVS 
TRMM PR 
TRMM TMI 
TRMM VIRS 
TSIS-1 SIM 
TSIS-1 TIM  
TSX RO 
Terra MODIS  
UARS CLAES 
UARS HALOE 
UARS HRDI  
UARS ISAMS 
UARS MLS  
UARS PEM  
UARS SOLSTICE  
UARS SUSIM  
UARS WINDII  
WEATHER STATIONS NEXRAD  
WEATHER STATIONS RAIN GAUGES  

Priority Split (productivity)
15% Bandwidth to handle support tickets
10% for Adhoc work
20% to improve existing products
40% create new products
15% MISC (hiring, experiments, learning etc., )

#### Measurements

Measurement
Absorption 
Aerosol Backscatter
Aerosol Extinction 
Aerosol Optical Depth/Thickness
Aerosol Particle Properties
Aerosol Radiance 
Air Mass/Density 
Air Temperature 
Airglow
Albedo 
Alkalinity 
Ammonia
Angstrom Exponent
Antenna Temperature
Atmospheric Carbon Dioxide
Atmospheric Carbon Monoxide
Atmospheric Emitted Radiation
Atmospheric Heating
Atmospheric Nitric Acid
Atmospheric Ozone
Atmospheric Pressure Measurements
Attitude Characteristics 

Barometric Altitude 
Biogeochemical Cycles
Black Carbon 
Boundary Layer Temperature
Boundary Layer Winds 
Brightness Temperature
Bromine Monoxide
Canopy Characteristics
Carbon 
Carbon Dioxide 
Carbon Monoxide
Carbon and Hydrocarbon Compounds 
Carbonaceous Aerosols
Chemical Composition 
Chlorine Dioxide
Chlorine Monoxide
Chlorine Nitrate 
Chlorofluorocarbons
Chlorophyll 
Cloud Base Pressure
Cloud Condensation Nuclei
Cloud Droplet Concentration/Size
Cloud Dynamics
Cloud Emissivity
Cloud Fraction 
Cloud Frequency
Cloud Height 
Cloud Liquid Water/Ice
Cloud Mass Flux
Cloud Microphysics
Cloud Optical Depth/Thickness 
Cloud Precipitable Water
Cloud Properties 
Cloud Radiative Forcing
Cloud Reflectance
Cloud Top Height 
Cloud Top Pressure 
Cloud Top Temperature
Cloud Types 
Cloud Vertical Distribution
Condensation
Conduction 
Convection 
Convective Surface Precipitation Rate 
Deposition
Dew Point Temperature 
Diffusion 
Dimethyl Sulfide
Dinitrogen Pentoxide 
Discharge/Flow
Dissolved Gases
Droplet Size 
Drought Indices
Dust/Ash/Smoke 
Electron Flux 
Emissions 
Emissivity
Energy Deposition 
Eruption Dynamics 
Evaporation 
Evapotranspiration
Extreme Drought 
Extreme Precipitation
Fire Occurrence
Floods 
Formaldehyde
Geopotential Height 
Glacier Runoff 
Ground Ice 
Heat Flux 
Heat/Cold Wave Frequency/Intensity
Humidity 
Hydrogen Chloride
Hydrogen Cyanide 
Hydrogen Fluoride
Hydroperoxy
Hydroxyl
Hypochlorous Acid
Ice Fraction 
Ice Temperature 
Incoming Solar Radiation 
Infrared Flux 
Infrared Imagery
Infrared Radiance
Land Surface Temperature
Land Use Classes 
Land Use/Land Cover Classification
Landslides 
Latent Heat Flux
Layered Precipitable Water
Leaf Area Index (Lai) 
Leaf Characteristics 
Liquid Precipitation 
Liquid Water Equivalent 
Longwave Radiation 
Magnetic Fields/Magnetic Currents
Maximum/Minimum Temperature
Methane 
Methanol
Methyl Chloride
Methyl Cyanide 
Microwave Imagery
Microwave Radiance
Net Radiation 
Nitrate
Nitric Oxide
Nitrogen Dioxide
Nitrogen Oxides 
Nitrous Oxide 
Nutrients 
Ocean Color
Ocean Mixed Layer
Optical Depth/Thickness
Orbital Characteristics
Organic Particles
Outgoing Longwave Radiation
Oxygen 
Particle Size Distribution 
Particulate Matter 
Peroxyacyl Nitrate 
Ph 
Phosphate
Photosynthetically Active Radiation
Phytoplankton 
Planetary Boundary Layer Height 
Potential Temperature 
Precipitation Amount 
Precipitation Rate 
Precipitation Trends
Pressure Thickness 
Primary Production 
Proton Flux 
Radar Backscatter
Radar Reflectivity
Radiative Flux 
Radiative Forcing
Rain 
Reflectance
Reflective Band Radiance
Rivers/Streams 
Root Zone Soil Moisture
Runoff 
Satellite Soil Moisture Index
Scattering 
Sea Ice Concentration
Sea Level Pressure 
Sea Salt 
Sea Surface Height
Sea Surface Skin Temperature
Sea Surface Temperature 
Sensible Heat Flux
Sensor Counts 
Shortwave Radiation
Sigma Naught 
Skin Temperature
Smog 
Snow 
Snow Cover
Snow Depth
Snow Melt 
Snow Water Equivalent
Snow/Ice Temperature 
Soil Heat Budget
Soil Infiltration
Soil Moisture
Soil Moisture/Water Content
Soil Porosity
Soil Temperature
Solar Induced Fluorescence
Solar Irradiance 
Solar Radiation 
Sublimation 
Subsurface Flow
Sulfate
Sulfate Particles
Sulfur Dioxide 
Sulfur Oxides 
Surface Pressure
Surface Roughness
Surface Soil Moisture
Surface Temperature 
Surface Winds 
Temperature Anomalies
Temperature Tendency
Temperature Trends
Terrain Elevation
Thermal Infrared
Total Precipitable Water 
Total Surface Precipitation Rate
Trace Gases/Trace Species
Tropopause 
Tropospheric Ozone 
Turbulence 
U/V Wind Components 
Ultraviolet Radiance
Ultraviolet Radiation
Upper Air Temperature
Upper Level Winds 
Uv Aerosol Index 
Vegetation Cover 
Vegetation Index 
Vegetation Water Content 
Vertical Profiles 
Vertical Wind Velocity/Speed 
Viewing Geometry 
Virtual Temperature
Visible Flux
Visible Imagery 
Visible Radiance 
Volcanic Activity 
Volcanic Eruptions
Vorticity
Water Vapor 
Water Vapor Concentration Profiles
Water Vapor Flux 
Water Vapor Mixing Ratio Profiles
Water Vapor Processes
Water Vapor Profiles 
Water Vapor Tendency 
Wetlands 
Wind Direction Tendency  
Wind Dynamics  
Wind Speed  
Wind Speed Tendency  
Wind Speed/Wind Direction 
Wind Stress  
X-Ray Flux  
</details>

##### **History Product Product Roadmap for 2021**

**Phase 1: Weather**

Weather parameters:
| Parameters	| Description    |Done	(Y/N)  |
|:---        |:---        |    :----   |
| summary	| A human readable interpretation of data    | Y
|icon	|Representative icon of the data| Y
|temperature	|Air temperature in degrees Fahrenheit    | Y
|apparentTemperature	|Apparent (or “feels like”) temperature in degrees Fahrenheit    | Y
|dewPoint	|The dew point in degrees Fahrenheit    | Y
|humidity	|Relative humidity, between 0 and 1, inclusive    | Y
|pressure 	|Sea-level air pressure in millibars.    | Y
windSpeed	|Wind speed in miles per hour    | Y
windGust	|Wind gust speed in miles per hour    | Y
windBearing	|Direction that the wind is coming from in degrees, with true north at 0°    | Y
cloudCover	|Percentage of sky occluded by clouds, between 0 and 1, inclusive    | Y
uvIndex	|UV Index    | N - will add in next ver (Free)
visibility	|Average visibility in miles, capped at 10 miles    | Y
|ozone	|Columnar density of total atmospheric ozone at the given time in Dobson units    | Y
| maxTemp	| Maximum Temperature for the day  | Y
| minTemp	| Minimum Temperature for the day  | Y
| accuPrecipitation	| Accumulated precipitation   | Y
| altitude	| Cloud Ceiling or altitude - asked by SymbioEnergy   | N - Will try to add for V1 - Paid|
**More weather parameters :**
| Parameters	| Description    | V2 |
|:---        |    :----   |    :----   |
| sunDuration	| Sun Duration - asked by SymbioEnergy | Paid |
| sunIrradiance	| Sun Irradiance - useful for Solar energy use cases | Free|
| Snow	| | Ref [VisualCrossingDoc](https://www.visualcrossing.com/resources/documentation/weather-data/weather-data-documentation/)|
| Snow depth	| | -"-|
| heatIndex	| | -"-|
| windChill	| | -"-|

**Data sources used :**

| Source	| Paid/Free    |Parameters    |
|:---        |    :----   |    :----   |
|Copernicus satellite (reanalysis of the data from 1979)	|  Free    |‘wind_speed', 'wind_direction', 'dew_point','temperature', 'wind_gust', 'mean_total_precipitation_rate', 'precipitation_type', 'pressure', 'total_cloud_cover', 'ozone','total_precipitaion', 'relative_humidity’|
||Paid	|altitude/Cloud ceiling	|
||	|	|

**Cost factors :**
1. Paid satellite sources
2. Infrastructure - storage <**Chandu**>
3. Processing/query cost

**Phase 2: Air Quality**

Air Quality parameters: 
| Parameters	| Description    |
|:---        |    :----   |
|PM2.5	|Particulate matter < 2.5um (ug/m3)|
|PM10|	Particulate matter < 10um (ug/m3)|
|SO2|	Sulphur dioxide conc (ppb)|
|NO2|	Nitrogen dioxide conc (ppb)|
|OZONE|	OZONE conc (ppb)|
|CO|	Carbon monoxide conc (ppm)|
|AQI|	Air quality index|
|updatedAt|	ISO timestamp of event in UTC|
|aqiInfo	|Breif info about the effects of the AQI returned|



**Phase 3: Pollen**

**Pollen parameters :**
| Parameters	| Description    |
|:---        |    :----   |
|Grass Pollen|	Pollen grains from grasses. Measuring unit is pollen particles/m3|
|Tree Pollen|	Pollen from trees such as Birch and Oak. Measuring unit is pollen particles/m3|
|Weed Pollen|	Pollen from weeds such as Ragweed. Measuring unit is pollen particles/m3|
|Risk|	Provides a risk evaluation with levels Low - Mild risk to those with severe respiratory issues. No risk for the general public
Moderate - Risky for those with severe respiratory problems. Mild risk for the general public
High - Risky for all groups of people
Very High - Highly risky for all groups of people|

**More Pollen parameters :**
| Parameters	| Description    |
|:---        |    :----   |

one year to $500k revenue

##### What features make it stand out?

#####  Is it feasible to develop it?

#### Business Goals

##### How is the product going to benefit the company?

##### What are the business goals?

---


{%youtube b4kZG2SAr14 %}

---

## Engineering


### High Level Engineering Architecture


### Scraping of Data (Data Gathering)


### ETL (preproc, interpolation)


### Stack and Database


### Owners

---

---

### Where are we now?

[](https://) Meeting minutes
---

1. Compare Open weather data for US, Eur loc
2. Accuweather - HERE, snowflake price check
3. 

:::info 
Latest meeting minutes: **11th Aug 2021** 
:::
1. Design: Coming soon page to have a text field to take email address as input.
2. Design: Sonam to add option to select lat-longs within a polygon, during purchase.
3. Content & Zoho integration: 
    a. Content on page and button to be modified accordingly.
    b. When email id is entered, the user should get an email through Zoho. Need to finalize the content of the email.
4. Veer to confirm dates for 30 years of data.
5. Coming soon page will go live on 13/08

:::info 
Meeting minutes: **10th Aug 2021** 
:::
Final sprint to end on 23/08
:::info 
Meeting minutes: **2nd Aug 2021** 
:::
Attendees: Maddy, Veer, Chandu, Nidhin, Arun, Sonam, Giri, Ranjani, Ramya
1. Role Based access needs to be added
2. Bounding box - design to show lat-longs available within the polygon; allow for selection/deselection of lat-longs. Refer to 
[Pricing sheet](https://docs.google.com/spreadsheets/d/1jFSLDfTqZafYp1nYs6kcedB59AkVFQi3Tg3rgHKKDQg/edit?ts=60a4ae0a#gid=1948244586) for details.
3. Order Confirmation page to be added. Should give a time estimate and basic terms - how long the data will be available there.
4. To add Terms and Conditions page - Return/exchange policy, SLA, duration of data availability on Ambee server
5. Once data is ready, show options: 1) download 2) upload to S3 location.
6. Chandu/Arun to confirm when 30 years of data would be available.
7. Coming soon page to go live by 8th Aug
8. Timeline:
    a. Design completes by 13/08, with minor design changes and additions completed by 20/08
    b. Content by 16/08
    c. Front end dev and data, backend by 20/08
    d. Product to be handed off for testing by EOD 20/08
    e. Test, fix, retest and fix from 23/08 to 17/09
    f. Plan to go live in the week of 20/09.

:::info 
Meeting minutes: **6th July 2021** 
:::
1. Satellite sources and parameters are updated in this PRD. UVIndex and CloudCeiling parameters remain to be updated. <Chandu, Veer>
2. Cost implication of storage and processing will be assessed after 1-2 years of data is ready. <Chandu, Veer>
3. Project Timeline - Veer to confirm if data will be ready as per schedule
4. Pricing will be based on number of actual location points, parameters and time points. We can reevaluate this after gaining more understanding of the expense, customer feedback etc.
5. Validation step towards the end: Download 20 major cities' historical data from OpenWeather and compare.
6. Version 2: 
    * Temporal resolution to be enhanced by using paid satellite sources and ground stations. 
    * Algo to decide how to reduce variance if the sources differ, compare with a competitor's data


---


```graphviz
digraph {
  compound=true
  rankdir=RL

  graph [ fontname="Source Sans Pro", fontsize=20 ];
  node [ fontname="Source Sans Pro", fontsize=18];
  edge [ fontname="Source Sans Pro", fontsize=12 ];


  subgraph core {
    c [label="2021 to 2022"] [shape=box]
  }
  
  c -> sync [ltail=session lhead=session]

  subgraph cluster1 {
     concentrate=true
    a [label="Data Platform"] [shape=box]
    b [label="SaaS"] [shape=box]
    sync [label="Cloud and AutoML" shape=plaintext ]
    b -> sync  [dir="both"]
    sync -> a [dir="both"]
    label="Ambee"
  }
}
```

---

### Architecture of extension

---



---

## Content script

- Bind with each page
- Manipulate DOM
- Add event listeners
- Isolated JavaScript environment
  - It doesn't break things

---

# :fork_and_knife: 

---

<style>
code.blue {
  color: #337AB7 !important;
}
code.orange {
  color: #F7A004 !important;
}
</style>

- <code class="orange">onMessage('event')</code>: Register event listener
- <code class="blue">sendMessage('event')</code>: Trigger event

---

# :bulb: 

---

- Dead simple API
- Only cares about application logic

---

```typescript
import * as Channeru from 'channeru'

// setup channel in different page environment, once
const channel = Channeru.create()
```

---

```typescript
// in background script
const fakeLogin = async () => true

channel.answer('isLogin', async () => {
  return await fakeLogin()
})
```

<br>

```typescript
// in inject script
const isLogin = await channel.callBackground('isLogin')
console.log(isLogin) //-> true
```

---

# :100: :muscle: :tada:

---

### Wrap up

- Cross envornment commnication
- A small library to solve messaging pain
- TypeScript Rocks :tada: 

---

### Thank you! :sheep: 

You can find me on

- GitHub
- Twitter
- or email me
