Half-Hourly Precipitation Data Now Available


Last week we introduced real-time observations from the NDBC network of stations and we received some great feedback on our station API. Thanks to everyone who shared their insights!

This week we’re making it rain! Many of our users involved in flood analysis and crop forecasting have expressed interest in precipitation data, so we’ve added three Integrated Multi-satelliE Retrievals for GPM (IMERG) datasets to Datahub.


Integrated Multi-SatellitE Retrievals For GPM (IMERG) – Day 1 Half-Hourly Products

IMERG is the unified U.S. algorithm that provides the Day-1 multi-satellite precipitation product for the U.S. Global Precipitation Measurement team. Precipitation estimates from the GPM constellation are computed, gridded, intercalibrated and combined into half-hourly 0.1 x 0.1 degree fields.

The IMERG system is run twice in near-real time, producing an “Early” multi-satellite product ~4 hours after observation time and a “Late” multi-satellite product ~12 hours after observation time. A third run is performed using monthly gauge analysis, producing a “Final” satellite-gauge product ~2 months after the observation month.

Each of these half-hourly products are now available on Datahub:

IMERG – Day 1 Early Run Half-Hourly Product
IMERG – Day 1 Late Run Half-Hourly Product
IMERG – Day 1 Final Run Half-Hourly Product


Above: IMERG data showing tropical storm Darby’s cumulative precipitation over the Hawaiian Islands, July 19-26. Intro: IMERG data showing rainfall across western Europe, May 22 – June 6. Images by Hal Pierce (SSAI/NASA GSFC).


Wind Energy, the Wunderkind of Industrial IoT
Data-driven decisions have caused a qualitative jump in wind energy. Industrial IoT initiatives are expected to boost utilities’ revenues by 15–19% over the next three years.

I spend my time writing about the economy, but the climate data hits me right in the gut
Last week it was announced that June was the warmest June on record – making it the 14th consecutive month of a record being set. The temperature data is now at such a point that it requires absurd levels of conspiracy theory to suggest climate change is not occurring.

Offshore Wind Investments Already Beating 2015
Investment hit a record 14B euros ($15.4B) in the first six months of 2016, exceeding the 13.3B euros invested in 2015, WindEurope reports.

Geospatial IoT Insights – July 28


3 ways the IoT could help fight climate change. First, IoT is implemented in sectors such as forestry and biodiversity protection, which usually lack the financial resources needed to implement innovative solutions. Second, IoT will immediately enhance the living conditions of low-income populations in developing countries, given their reliability on the agricultural sector, while also reducing the environmental footprint of agricultural activities. Third, IoT could create opportunities for new public-private partnerships. [World Economic Forum]

The Weather Company using IBM’s Watson to predict natural disasters. TWC’s subsidiary Weather Underground has over 200,000 weather stations in 195 countries. Armed with multiple sensors to detect barometric pressure, humidity, temperature, wind speed and direction, and other measurements, TWC hopes to use these weather stations by leveraging IBM’s Watson IoT platform to provide critical weather data to governments and businesses in underserved areas to better prepare for impending disasters.

Offshore wind investments so far this year already beating 2015. Europe’s offshore wind-power industry attracted more investment in the first half of 2016 than it did during the whole of last year. Investment hit a record 14 billion euros ($15.4 billion) in the first six months of 2016, exceeding the 13.3 billion euros invested in 2015. However, worldwide investment in renewable energy fell 23 percent to $116.4 billion in the first two quarters of this year, compared with the first half of 2015. [Bloomberg]

World’s poor are pioneering the future of energy. We live in a world where 1.3 billion people still do not have access to electricity, and another 1 billion people only have access to unreliable energy sources. But a renewable energy revolution is sweeping the developing world in which the world’s poorest are becoming pioneers in renewable energy and the smart grids of the future. For example in 2015, Kenya met 90% of its electricity needs through renewables. [SingularityHUB]

Chernobyl’s atomic wasteland may be reborn with solar energy. Thirty years after the atomic fallout from the Chernobyl meltdown rendered an area the size of Luxembourg uninhabitable for centuries, Ukraine is seeking investors to develop solar power near the defunct Soviet reactors. The site already has high-voltage transmission lines that were previously used for the nuclear stations, and the land is very cheap. Ukraine seeks to install $1.1 billion of solar panels on site. [Bloomberg]

Harriet Green from IBM elaborates on the value of weather data for the IoT. When it comes to the IoT, adding weather data to every connected device is elevating the digital age to entirely new levels. No person or thing in the world is not affected by weather. It affects everyone and everything, from a person’s mood, the growth of crops, the production of energy to the flight plan of a plane bound from Japan to London. She also brings many interesting examples from different industries. [Forbes]

Scientists caught off-guard by record temperatures linked to climate change. Record temperatures in the first half of 2016 have taken scientists by surprise despite widespread recognition that extreme weather events are becoming more frequent and intense. According to David Carlson, director of the WMO’s climate research program, the question is shifting from ‘has the climate changed?’ to ‘by how much?’. Key to understanding extreme weather will be the availability of data across the globe. [Reuters]

Wind Energy, The Wunderkind Of Industrial IoT


From the first person who put a sail to the wind while aboard a small boat, to the first people who used wind-powered machines to grind grain, today’s wind energy industry is the culmination of millennia of innovative human thought, discoveries and cooperation. In our modern world, governments worldwide see today’s wind energy technology as a renewable energy solution that will provide a sorely-needed transition to the low-carbon economy and environment that our planet needs. In fact, almost 200 countries signed up to the 17 goals of the 2030 Agenda for Sustainable Development and the Paris Climate Change Agreement, acknowledging the need for change and committing to using more renewable energy than they ever have before.

When governments say they will use more renewable energy, how much energy will actually come from renewable sources? In the EU, by 2030, at least 27% of total energy will be generated from renewables, with national targets ranging from 10% in Malta to 49% in Sweden. In the US, President Obama has announced the US target: 20% of US electricity will come from renewables. China and India have also joined this initiative, setting renewable energy targets of 30% and 40%, respectively.

Hundreds of NDBC Stations Now Available

Station API visual

This week we’ve added marine observational data from over 800 stations collected by NOAA’s National Data Buoy Center (NDBC) to Planet OS Datahub. In addition to the new datasets, we’ve also launched a new API endpoint for making station based queries.


NDBC Standard Meteorological Data
This dataset includes temperature, wind, wave, sea level pressure, dewpoint, station visibility, and tidal data from over 800 individual stations. Stations typically report on an hourly basis, however some stations may report more frequently.

NDBC MMS Acoustic Doppler Current Profiler Data
This dataset contains water current velocity and direction for 35 stations located in coastal U.S. waters and lakes. Some stations provide only surface current data, while others provide current data at multiple depths.

NDBC Continuous Winds Data
Continuous wind measurements are six 10-minute average values of wind speed and direction reported each hour. These measurements provide wind data for users who need better temporal resolution, such as for micro-scale studies of air quality and sea breeze effects.

NDBC Spectral Wave Density Data With Direction
Spectral wave data is generated by processing raw accelerometer observations on board the station. The output includes the separation frequency, the spectral wave density, the spectral wave direction, and the directional wave spectrum.

Geospatial IoT Insights – July 21


GE Predix in smart buildings. GE and Schindler announced a strategic alliance under which GE’s Predix software will be used for digital innovations in smart buildings. GE’s digital industrial operating system and software, including advanced analytics, to monitor and analyze data from its connected elevators and escalators, which it said are used by more than 1 billion people daily. [Investor’s Business Daily]

Global energy investment drops 23% in first half of 2016. Global clean energy investment in the first half of 2016 stood at USD 116.4 billion (EUR 104.6bn), down by 23% on a year ago due to a slowdown in all major markets but Europe and Brazil, and cheaper solar. [SeeNews]

Data-driven farming: How IoT delivers hyperlocal weather information affordably. This short overview helps to understand how a low-cost, self-powered crop-monitoring solution collects hyperlocal weather and crop data to help farmers make better-informed decisions. [Network World]

DigitalGlobe, one of the biggest satellite imagery providers, describes how they help decreasing costs of pipeline monitoring with geospatial big data. Oil and gas pipeline operators face a big challenge in meeting federal and state safety regulations, and satellite imagery analysis provides a neat solution which makes it much easier the track changes in nearby land use. [DigitalGlobe]

Big data analytics is the key driver of IoT development, according to a survey by Strategy Analytics. However, a significant percentage of companies struggle with how to analyze that data to benefit their business. Over 50 percent report that they have too much data to be able to analyze it efficiently, 44 percent of respondents currently perform some data analytics but admit they could do a better job and 31 percent of organizations do not currently store IoT data at all. [PR Newswire]

Regional Data And Matlab Code. Come Say Hello In Tallinn


This week we published several regional datasets based on the feedback from our users. Three European coastal datasets are now available in Planet OS Datahub, including forecast data for the Mediterranean and Baltic seas. For Matlab users, we’ve created an example on GitHub that highlights how to plot WaveWatch III data using the Planet OS REST API. See below for more details.


The Western Mediterranean Operational Forecasting System (WMOP)
WMOP provides daily, high-resolution (2.2km grid) data about currents, salinity and temperature at 32 distinct vertical levels. In addition to current conditions, a forecast of the same parameters over the next 72 hours is also provided.

The Baltic Sea Biogeochemistry Analysis And Forecast
This dataset provides local, high-resolution (2km grid) data about oxygen, nitrate, chlorophyll and phosphate concentrations in the Baltic Sea. It is updated twice daily, covers depths up to 400 meters, and also includes a 48-hour forecast.

Near Real-Time Surface Current Data In The Ibiza Channel
This surface current dataset is available with at least an hourly update frequency. It is a local, small-area dataset with 0.05-degree resolution that is based on high-frequency radar located on the Ibiza island coast. Due to its high accuracy, this data is useful for shipping and also the validation of model data.

Geospatial IoT Insights – July 14


These weekly posts gather news and stories that appeared during the last week and that shape the landscape of Geospatial IoT. We are currently inclined to give more attention to renewable energy related developments.

What is Geospatial IoT? Planet OS is working on the intersection of the Geospatial Services and Industrial IoT. These markets are partially overlapping, and calling the resulting blend Geospatial IoT seems to be both semantically and substantially a justified proposition.

Grids struggle to cope with erratic nature of wind and solar power. German utility firms began to test whether big data and machine learning can make these power sources more grid-friendly. The project combines weather data from sensors installed on wind turbines and solar panels with other atmospheric observations. Then sophisticated computer models predict power generation over the next 48 hours, and grid operators will be able to plan their work better. [Nature]

The future of energy is data. David Socha, Utilities Practice Leader at Teradata joins in with what we have been arguing for a while – utility companies need to shift to a data-driven approach across every part of their new and still-forming 21st century business. [Teradata blog]

Antarctic CO2 Hit 400 PPM For First Time in 4 Million Years. Carbon dioxide has been steadily rising since the start of the Industrial Revolution, setting a new high year after year. There’s a notable new entry to the record books. The last station on Earth without a 400 parts per million (ppm) reading has reached it. [Climate Central]

93 Percent Of Public Companies Face Climate Risk; Only 12 Percent Have Disclosed It. Forbes adds more details to the topic I analyzed in my latest blogpost. Climate risk is spread across the market and can come from unforseen directions. It is systemic and embedded across a portfolio, so investors can’t diversify away from it. [Forbes]

GE’s Predix Is Heavy on Marketing, but Light on Capabilities. Lux Research has released a report saying that Predix marketing is ahead of its technical development, forcing GE to lean on PTC ThingWorx technology to deliver to customers. The good news is, despite GE’s grand ambitions, the IoT is big enough for more players. No single vendor can provide all the tools for enterprise deployments. [Marketwired]

Geospatial IoT Insights – July 7


These weekly posts gather news and stories that appeared during the last week and that shape the landscape of Geospatial IoT. We are currently inclined to give more attention to renewable energy related developments.

What is Geospatial IoT? Planet OS is working on the intersection of the Geospatial Services and Industrial IoT. These markets are partially overlapping, and calling the resulting blend Geospatial IoT seems to be both semantically and substantially a justified proposition.

Germany is resisting the Industrial IoT revolution. German companies generally consider their work to be done once a product leaves the factory. But in the world of industrial internet, that’s just the beginning. There is a fear that those who are already leading in digital will snatch the industrial production from Germany. That’s probably justified. [POLITICO Pro]

Germany plans to cap the expansion of offshore wind power at the start of the next decade to ensure the future growth of renewables keeps step with the construction of new power lines. The rapid expansion of green energy, which now makes up more than 30 percent of the power mix, has pushed up electricity costs and placed a strain on grids. [Reuters]

IoT Analytics issued some numbers quantifying the Industrial IoT growth. The total annual count for the registration of Industrial Iot related patents has exploded by a factor of 12x in just 5 years. Cloud computing and 3D printing are the leading verticals, for now. [IoT Analytics]

Five IIoT companies prove value of internet-connected manufacturing. Scheider, Current, Honeywell, 3M and Bosch show that slowly, but surely, global manufacturers are embracing Industrial IoT, enjoying benefits from process improvements to cost savings. [IoT Agenda]

Swedish Berg Insight believes that the installed base of wireless Industrial IoT devices reached a total of 14.3 million units by the end of 2015. The number of wireless Industrial IoT devices in automation networks is expected to grow at a compound annual growth rate of 27.7%, reaching 62 million by 2021. [FierceWireless]

How Climate Change Drives New Business

Greenhouse in desert_market review


We’re glad to share the second issue in the series of Planet OS Market Reports where we analyze the previous quarter. The inaugural issue can be read here, and we encourage you to sign up for our newsletter to start receiving the reports. For subscription, please click here.

During Q2, we saw climate change to continue playing a big role in the latest global business trends. Advances in technology,  supported by economic policies around the world, are changing investment priorities – faster than anyone could have predicted.

We noticed signals of just how big the financial exposure represented by climate change could grow. We saw the value of climate data. And we saw which industries are thriving in this uncertain, ever-changing business environment.

We’ve Expanded The Collection Of Oceanic Data

Screen Shot 2016-06-27 at 11.02.41

Hope your week is off to a great start! We’re glad to say that we’ve expanded the collection of high-quality oceanic datasets. Check out our newest additions:

NOAA Blended Sea Winds
The Blended Sea Winds contain globally gridded, high-resolution ocean surface vector winds and wind stresses on a global 0.25° grid, and multiple time resolutions of 6-hourly, daily, monthly, and 11-year (1995-2005) climatological monthlies. The period of record is 9 July 1987 – present, which in fact is quite rare. The wind speeds were generated by blending observations from multiple satellites (up to six satellites since June 2002).

OSCAR Ocean Surface Currents 1/3° Resolution
The Ocean Surface Current Analyses Real-time (OSCAR) dataset provides ocean surface velocities on a global 1/3° grid with a 5-day temporal resolution. OSCAR data is used for fishery resource management, studying phytoplankton blooms, and is popular with the boating and maritime communities.

Global Ocean Physics Analysis and Forecast 1/4° Resolution
The Global Ocean Physics Analysis and Forecast is produced by the UK Met Office and provides a 7-day forecast of daily mean values for temperature, salinity, currents, sea level, mixed layer depth and sea ice on a global 1/4° grid. Vertical coverage includes 43 discrete levels spanning the sea surface to a depth of 5,500 meters.

Do you have a dataset you’d like to recommend?
Your feedback directly impacts how we identify and prioritize datasets for release. In fact, all our recent releases have been based on suggestions we received from the community. So, please don’t hesitate to drop us a line at ckalima@planetos.com and/or join our Slack community, where we discuss this and other related topics.