This data set contains hourly resolution surface meteorological data from the Remote Automated Weather Stations (RAWS) network. These data were retrieved from the Western Region Climate Center (WRCC). The date set includes data from ten stations in the IHOP region and covers the period 01 May to 30 June 2002. The data are in columnar ASCII format. Consult the README for more information.

Portable Small Automatic Weather Station Market Outlook

The global market size for Portable Small Automatic Weather Stations is projected to reach USD 5.8 billion by 2032, up from USD 2.5 billion in 2023, growing at a compound annual growth rate (CAGR) of 9.8% over the forecast period. This impressive growth is driven by increasing demand for accurate and real-time weather data across various sectors including agriculture, environmental research, and military applications. Enhanced technological advancements and the integration of IoT and AI in weather monitoring systems also act as significant growth catalysts in this market.

One of the primary growth factors for this market is the increasing awareness and need for precise climate data. As climate change continues to be a pressing global issue, various sectors are increasingly relying on accurate weather data for better decision-making. For instance, in agriculture, portable small automatic weather stations are crucial for monitoring soil moisture, predicting rainfall, and planning irrigation schedules. This helps in improving crop yields and reducing the risk of crop failure, thereby driving market growth. Moreover, these weather stations are becoming more affordable, which makes them accessible to small and medium-sized enterprises and individual farmers, further expanding the market.

Technological advancements also play a pivotal role in the market growth of portable small automatic weather stations. The integration of advanced sensors, IoT, and AI has significantly enhanced the accuracy and functionality of these devices. Modern weather stations can now provide real-time data and analytics, which are crucial for various applications ranging from environmental research to disaster management. The miniaturization of components and the development of compact, energy-efficient systems have also contributed to the proliferation of portable weather stations.

The increasing frequency of extreme weather events and natural disasters is another major growth driver for this market. Governments and private organizations are investing heavily in weather monitoring and forecasting systems to mitigate the impact of such events. Portable small automatic weather stations are particularly useful in remote and disaster-prone areas where traditional weather monitoring infrastructure is lacking. These stations can be rapidly deployed and provide critical data that aid in timely and effective response to natural disasters, thus driving market demand.

In addition to portable solutions, Fixed Station Monitors play a crucial role in providing continuous and long-term weather data. These fixed installations are often strategically placed in locations where consistent monitoring is essential, such as airports, research facilities, and urban centers. The data collected from these stations is invaluable for climate studies, weather forecasting, and environmental monitoring. Fixed Station Monitors are equipped with a wide array of sensors that deliver highly accurate and reliable data, which is critical for making informed decisions in various sectors. The integration of advanced technologies in these monitors ensures that they remain a vital component of the broader weather monitoring infrastructure.

Regionally, North America and Europe are expected to dominate the market due to their advanced infrastructure and significant investments in weather monitoring technologies. However, the Asia Pacific region is anticipated to witness the highest growth rate, driven by increasing awareness about climate change, government initiatives, and the adoption of advanced agricultural practices. The growing need for disaster management and environmental research in this region also contributes to the market's expansion. Latin America and the Middle East & Africa are also expected to show considerable growth, albeit at a slower pace compared to the Asia Pacific.

Product Type Analysis

The market for portable small automatic weather stations can be segmented into fixed weather stations and portable weather stations. Fixed weather stations are generally installed in a permanent location and are used for long-term weather monitoring. These stations are often equipped with a wide range of sensors and provide highly accurate and reliable data. They are commonly used in meteorological research, environmental monitoring, and by government agencies. The demand for fixed weather stations is driven by the need for continuous and long-t

This data set contains 1-minute resolution surface meteorological data from the Atmospheric Boundary Layer Experiments (ABLE) operated by the Argonne National Laboratory in the Walnut River Watershed in Butler County Kansas (east of Wichita). The ABLE Automated Weather Station (AWS) Network consists of five stations. Data cover the period from 20 May to 7 July 2003 The data are in columnar ASCII format.

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Automatic weather station data * Changes download URL from September 15, 112 to December 31, 112, please change before December 31, and the old version link will expire. If you need to download a large amount of data, please apply for membership at the Meteorological Data Open Platform https://opendata.cwa.gov.tw/index

sea fog

pressure

The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.

This dataset contains minute resolution meteorological measurements by the Met Office Automatic Weather Stations (AWS) during the DIAMET intensive observation campaigns.

Automatic Weather Stations Market Outlook

The global market size for Automatic Weather Stations (AWS) was valued at USD 750 million in 2023 and is projected to grow to USD 1.52 billion by 2032, driven by a compound annual growth rate (CAGR) of 8.2%. This robust growth is fueled by a combination of technological advancements and increasing demand for accurate weather forecasting across various sectors such as agriculture, aviation, and meteorology.

One of the primary growth drivers for the AWS market is the increasing need for precise and real-time weather data. This demand is particularly high in the agriculture sector, where weather conditions can significantly impact crop yield and quality. Farmers and agribusinesses are increasingly investing in AWS to optimize irrigation, maximize yield, and reduce the risk of crop damage due to unexpected weather changes. Furthermore, the integration of big data analytics and Internet of Things (IoT) technologies with AWS has enhanced the accuracy and reliability of weather data, contributing to market growth.

Another critical growth factor is the rising awareness and implementation of climate change adaptation strategies. Governments, research institutions, and international bodies are investing heavily in AWS to monitor and predict weather patterns. This investment is crucial for disaster management and mitigation strategies, especially in regions prone to natural calamities such as hurricanes, floods, and droughts. The data collected from AWS is invaluable for creating early warning systems, thereby saving lives and reducing economic losses.

Technological advancements have also played a significant role in the expansion of the AWS market. Innovations such as wireless communication, satellite data integration, and solar-powered stations have made AWS more efficient and accessible. These advancements have reduced operational costs and improved the accuracy of weather data, making AWS a valuable tool for various applications, including aviation, marine, and environmental monitoring. Additionally, the development of compact and portable AWS units has opened new opportunities for deployment in remote and hard-to-reach areas.

From a regional perspective, North America holds the largest market share in the AWS market, driven by substantial investments in weather monitoring infrastructure and technological advancements. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the increasing adoption of AWS in agriculture and rising government initiatives for disaster management. Europe also presents significant growth opportunities, particularly in the field of environmental research and renewable energy applications. Latin America and the Middle East & Africa are gradually embracing AWS technology, with a focus on improving agricultural productivity and managing water resources.

The development of Portable Small Automatic Weather Station units is a significant advancement in the AWS market. These compact and mobile stations offer the flexibility to be deployed in various settings, including remote and hard-to-reach areas. Their portability ensures that accurate weather data can be collected in regions where traditional weather stations are not feasible. This innovation is particularly beneficial for field researchers and environmental scientists who require real-time data for their studies. The ability to easily transport and set up these stations makes them ideal for temporary installations, such as during field campaigns or in response to natural disasters. The growing demand for portable AWS solutions is driving further innovation in this segment, with manufacturers focusing on enhancing their durability and functionality.

Sensors Analysis

The sensors segment is a critical component of Automatic Weather Stations, responsible for measuring various atmospheric parameters such as temperature, humidity, wind speed, and precipitation. Over the years, advancements in sensor technology have significantly improved the accuracy and reliability of weather data. High-precision sensors are now capable of providing real-time data with minimal margin of error, which is crucial for applications such as aviation and meteorology. The integration of IoT technology with sensors has further enhanced their functionality, allowing for remote monitoring and data collection.

The demand for specialized sensors,

As part of IPY-0732946, three automatic weather stations (Larsen 1, 2, 3) were installed along a latitudinal gradient on the Larsen C ice shelf. The stations were installed in December 2008 (Larsen 3 AWS did not come online until 2009) and operated through the end of the project in November 2011.

This data set contains meteorological data, such as air temperature, pressure, rainfall intensity, relative humidity, and wind direction/speed measured by the International Centre for Integrated Mountain Development (ICIMOD).

An operative weather station that provides official main weather parameters from Sodankylä Tähtelä station. Main weather parameters have been measured automatically since 2006-10-24 (operatively since 2008-02-04). All instruments and sensors at the station are calibrated annually.

The dataset contains climate data (Humidity, Rainfall, Rainfall Rate, Dewpoint, Atmospheric Pressure, Temperature, Wind Direction, Wind Gust, Wind Chill, Solar Radiation, Windspeed, Heat Index, UV & UVI) at daily temporal resolution from Maplin Professional Solar Powered Wi-Fi Weather Stations installed at Munje and Galu within the study area.

This dataset contains meteorological data from Raine Island, Great Barrier Reef, from August 2012. The weather station is located on the Raine Island tower under a project with the Queensland Department of Environment and Resource Management (DERM).

The portable automatic weather station market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, valued at approximately $1.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching an estimated market size of $2.8 billion by 2033. This expansion is fueled by several key factors. The agricultural sector's growing reliance on precise weather data for optimized farming practices significantly boosts demand for agrometeorological applications. Similarly, advancements in renewable energy, particularly wind power, necessitate accurate and reliable weather information for efficient energy production and grid management. Furthermore, the rising popularity of weather-related educational programs in campuses and research institutions fuels the market's growth. Technological advancements, including the development of more compact, durable, and user-friendly weather stations with enhanced data accuracy and connectivity features, are also contributing to market expansion. The increasing availability of affordable portable weather stations further democratizes access to this critical technology, fostering wider adoption. Market segmentation reveals strong performance across various applications and types. While agrometeorology and meteorological research represent substantial market segments, the burgeoning wind power sector is a significant growth driver. In terms of product types, five-element weather stations are currently gaining popularity due to their comprehensive data collection capabilities, although two-element stations continue to maintain a significant market share, primarily driven by cost-effectiveness. Geographic analysis indicates strong market penetration in North America and Europe, propelled by established research infrastructure and heightened environmental awareness. However, emerging economies in Asia-Pacific, particularly China and India, are exhibiting significant growth potential due to increasing investment in agriculture and renewable energy infrastructure. Despite the positive outlook, the market faces certain constraints, including the initial high capital investment required for purchasing sophisticated weather stations and the need for ongoing maintenance and calibration. Nevertheless, the long-term benefits in terms of improved efficiency and informed decision-making across various sectors are expected to outweigh these limitations, ensuring continued robust market growth throughout the forecast period.

AWS next to the high basecamp below Yala Glacier (next to main lake). It measures all atmospheric variables (including precipitation from a Pluviometer).

The portable automatic weather station market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors. Firstly, the rising need for accurate and real-time weather data in agriculture (agrometeorology) is significantly boosting adoption. Precision agriculture techniques, relying on precise weather information for optimized irrigation, fertilization, and pest control, are driving this demand. Secondly, advancements in meteorological research require sophisticated, portable weather stations capable of collecting comprehensive data in various environments. This research-driven demand contributes to the market's growth trajectory. Furthermore, the expanding renewable energy sector, particularly wind power, relies heavily on accurate weather forecasting for efficient energy production and grid management. Educational institutions are also increasingly integrating portable weather stations into their curricula, fostering practical learning and scientific understanding. While precise market sizing data wasn't provided, considering the mentioned application areas and the global nature of the market, a reasonable estimation of the 2025 market size could be in the range of $500 million to $750 million, with a CAGR of 6-8% projected for the forecast period (2025-2033). This estimate reflects the moderate-to-high growth observed in related technology sectors. Market restraints include the initial high cost of advanced weather stations and the need for specialized technical expertise for installation and maintenance. However, technological advancements leading to cost reductions and user-friendly interfaces are mitigating these factors. The market is segmented by application (agrometeorology, meteorological research, campus education, wind power, others) and type (two-element, five-element, others). The two-element and five-element classifications refer to the number of primary weather parameters measured (e.g., temperature, humidity, wind speed). The geographic distribution shows significant market presence across North America, Europe, and Asia Pacific, with China and India emerging as key growth regions in the Asia-Pacific market due to expanding agricultural practices and renewable energy initiatives. The competitive landscape is characterized by a mix of established players like Davis Instruments and Ambient Weather, along with several regional companies. This suggests both a consolidated and a fragmented market structure, creating opportunities for both large corporations and specialized niche providers. Continued technological innovation, particularly in sensor miniaturization, data analytics, and wireless communication, will further shape market dynamics in the coming years.

The automatic weather stations at the Australian stations (Casey, Davis, Macquarie Island, and Mawson) were installed by the Bureau of Meteorology. They collect information on the following (in the following units):

date Timehh:mm wind speed knots wind direction degrees air temperature degrees celsius relative humidity percent air pressurehPa

Times are in UT.

Measurements are made at 4 metres.

The fields in this dataset are: date time(hh:mm) wind speed (knots) wind direction (degrees) air temperature (degrees celsius) relative humidity (percent) air pressure(hPa)

This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). Data is an extension of the daily AWS datasets for 1999-2015 and 2015-2016, for the time period September 2016 to December 2021. Data were recorded in minute intervals, averaged to half-hourly, then to daily means which are reported here. Data which were not recorded are marked with “NA”, faulty data were replaced with “-9999”. Data collection, processing and quality checking was carried out by members of CEH and UKCEH staff. The following measures were taken with sensors from Campbell Scientific: Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed were recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. Full details about this dataset can be found at https://doi.org/10.5285/0ebfc33b-0da2-4329-aac7-69ed8925b979