The Global Energy and Water Exchanges Project (abbreviated GEWEX, formerly named the Global Energy and Water Cycle Experiment from 1990 to 2012 [1] ) is an international research project and a core project of the World Climate Research Programme (WCRP).
In the beginning, the project intended to observe, comprehend and model the Earth's water cycle. The experiment also observes how much energy the Earth receives, and studies how much of that energy reaches the surfaces of the Earth and how that energy is transformed. Sunlight's energy evaporates water to produce clouds and rain and dries out land masses after rain. Rain that falls on land becomes the water budget which can be used by people for agricultural and other processes.
GEWEX is a collaboration of researchers worldwide to find better ways of studying the water cycle and how it transforms energy through the atmosphere. [2] If the Earth's climates were identical from year to year, then people could predict when, where and what crops to plant. However, the instability created by solar variation, weather trends, and chaotic events creates weather that is unpredictable on seasonal scales. Through weather patterns such as droughts and higher rainfall these cycles impact ecosystems and human activities. GEWEX is designed to collect a much greater amount of data, and see if better models of that data can forecast weather and climate change into the future.
GEWEX is organized into several structures. As GEWEX was conceived projects were organized by participating factions, this task is now done by the International GEWEX Project Office (IGPO). IGPO oversees major initiatives and coordinates between national projects in an effort to bring about communication between researchers. [3] IGPO claims to support communication exchange between 2000 scientist and is the instrument for publication of major reports. [4]
The Scientific Steering Group organizes the projects and assigns them to panels, which oversee progress and provide critique. The Coordinated Energy and Water Cycle Observations Project (CEOP) the 'Hydrology Project' is a major instrument in GEWEX. [5] This panel includes geographic study areas such as the Climate Prediction Program for the Americas operated by NOAA, [6] but also examines several types of climate zones (e.g. high altitude and semi-arid). [5] Another panel, the GEWEX Radiation Panel oversees the coordinated use of satellites and ground-based observation to better estimate energy and water fluxes. One recent result GEWEX's Radiation panel has assessed data on rainfall for the last 25 years and determined that global rainfall is 2.61 mm/day with a small statistical variation. While the study period is short, after 25 years of measurement regional trends are beginning to appear. [7] The GEWEX Modeling and Prediction Panel takes current models and analyzes the models when climate forcing phenomena occur (global warming as an example of a 'climate forcing' event). GEWEX is now the core project of WCRP. [2]
Predicting weather change requires accurate data that is collected over many years, and the application of models. GEWEX was conceived to respond to the need for observations of the Earth's radiation budget and clouds. Many preexisting techniques were limited to observations taken from land and populated areas. [8] This ignored the large amount of weather that occurs over the oceans and unpopulated regions, with key data missing from these areas. Since satellites orbiting the Earth cover large areas in small time frames, they can better estimate climate where measurements are infrequently taken. GEWEX was initiated by World Climate Research Programme (WCRP) to take advantage of environmental satellites such as TRMM, but now uses information from newer satellites as well as collections land-based instruments, such as BSRN. [2] These land-based instruments can be used to verify information interpreted from satellite. GEWEX studies the long-term and regional changes in climate with a goal of predicting important seasonal weather patterns and climate changes that occurs over a few years.
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The research interest of GEWEX is to study fluxes of radiation at the Earth's surface, predict seasonal hydration levels of soils and develop accurate models of predicting energy and water budgets around the world. The project sets its goal as to improve, by an order of magnitude, the ability to model and therefore prediction hydration (rainfall and evaporation) patterns [2] GEWEX is linked to other WCRP projects such as Stratospheric Processes and their Role in Climate (SPARC) Project, and the Climate and Cryosphere Project through WCRP. [10] [11] and thus shares information and goals with other WCRP projects. The goal becomes more important with the newer WCRP project, the Coordinated Observation and Prediction of the Earth System. [12]
Aside from fluctuations of solar radiation, the sunlight that is transformed by the Earth can vary greatly, some have concluded for instance, that ice-ages self-perpetuate once enough ice has accumulated in the polar regions to reflect enough radiation at high elevations to lower the global average temperature, whereas it takes an unusually warm period to reverse this state. Water usage by plants, herbivore activities can change albedo in the temperate and tropical zones. These trends in reflection are subject to change. Some have proposed extrapolating pre-GEWEX information using new information and measurements taken with pre-GEWEX technology. [13] Natural fires, volcanism, and man-made aerosols can alter the amount of radiation reaching the Earth. There are oscillations in oceanic currents, such as El-Niño and North Atlantic Oscillation, which alter the parts of the Earth's ice mass and land water availability. The experiment takes a sampling of climate, with some trends lasting a million years, and as paleo-climatology shows, can abruptly change. [14] [15] [16] Therefore, the ability to use data to predict change depends on factors that are measurable over periods of time, and factors that can affect global climate that abruptly appear can markedly alter the future.
GEWEX is being implemented in phases. The first phase comprises information gathering, modelling, predictions, and advancement of observation techniques and is complete. The second phase addresses several scientific questions such as prediction capacity, changes in Earth's water cycle, and the impact on water resources.
Phase I (1990–2002), also called the "Build-Up Phase", was designed to determine the hydrological cycle and energy fluxes by means of global measurements of atmospheric and surface properties. GEWEX was also designed to model the global hydrological cycle and its impact on the atmosphere, oceans and land surfaces. Phase I processes were to develop the ability to predict the variations of global and regional hydrological processes & water resources, and their response to environmental change. It was also to advance the development of observing techniques, data management, and assimilation systems for operational application to long-range weather forecasts, hydrology, and climate predictions.
During Phase I GEWEX projects were divided into the three overlapping sectors.
CEOP projects interacted with other non-GEWEX projects like CLIVAR and CLiC
The results of the build-up phase include 15 to 25 years of study, measured the indirect effects of aerosols, compiled a correlated data set, some reductions in uncertainty [18] GEWEX claims the following accomplishments: A long period data set of clouds, rain fall, water vapor, surface radiation, and aerosols with no indication of large global trends, but with evidence of regional variability, models showing increased precipitation, and showed the importance of regional factors, such as water and soil conservation in regional climate change. The Phase I also claims to have produced over 200 publications and 15 review articles.
The Mississippi watershed was part of the GEWEX Continental scale International Projects and as a result was well situated for the analysis of the Great Flood of 1993 (Mississippi River and Red River watersheds). The coordination between ground sensing observations and satellite information allowed a more thorough analysis of events that led up to the flood. Researchers at the Center for Ocean-Land-Atmosphere Studies (COLA) found that upstream soil moisture and a multifold increase of moist air flow from the Gulf of Mexico to the flooded regions was a major factor in excessive rainfall. The Global Land/Atmosphere System Study (GLASS) gave GEWEX investigators the ability to observe soil wetness over much of the world's surface by correlating observations on the ground with information obtained by satellites. While the ability to show cause is important, the different conditions (soil wetness, global patterns) that were permissive for weather anomalies are the focus of Phase I, gathering information and learning how to use satellite information better.
One of the biggest impacts of the Aerosol analysis has been the demonstration of the fairly large impact of anthropogenic aerosols, smoke patterns, even daily ripples of aerosols can be observed off the coasts of some developing nations and extend hundreds of miles over surrounding oceans. Some have questioned whether this aerosol pollution is partly to blame for long-term drought in places like the African Sahel.
One critique of the Build-up Phase data and predictions is that there needs to be better error descriptions. The global estimate of rainfall indicates that the confidence range is large relative to possible trends. The number of ground sensing stations (currently around 40) in the BSRN is rather limited for global observation this affected the measurement of aerosols which are regionally dominant. The best measurements of aerosol pollution are obtained when cloud types are identified properly by satellite observation, therefore better cloud sensing strategies and models are needed to provide the clearest real-time data. Certain projects like GCIP allow have focused on continental scale observations provide better prediction for project areas; however, areas outside these project areas may lag in receiving forecasting improvements. Many of the deficiencies in Phase I are improvement areas within the objectives of Phase II of the project. [18] Currently scientist use NASA Aqua's Advanced Microwave Scanning Radiometer (AMSR-E) to evaluation soil moisture from space. [19] However, except for focused observations the satellites data is not useful for global weather prediction. The proposed Soil Moisture and Ocean Salinity satellite would provide the detail of soil moisture information on a daily basis may provide the data needed for real time forecasting. [20]
Phase II, "Full Implementation" (2003–2012) of GEWEX is to "exploit new capabilities" developed during phase I such as new satellite information and, increasingly, new models. These include changes in the Earth's energy budget and water cycle, contribution of processes in climate feedback, causes of natural variability, predicting changes on seasonal or annual timescales, and how changes impact water resources. Phase II of is designed to be active models that have use to regional resource managers in real time. Some phases, such as the GAME (GEWEX Asia Monsoon Experiment) are already completed . [21] GEWEX has become an umbrella program for the coordination of studies and experiments around the world. Reports from the phase I are still being produced and it will be some time before the results of the second phase are available. The experiment is still in progress.
This section is missing information about the ongoing project stage (started in 2013).(May 2019) |
This section needs to be updated. The reason given is: New panels exist since 2013, see https://www.gewex.org/panels/.(May 2019) |
There are three panels in GEWEX: The Coordinated Energy and Water Cycle Observations Project (CEOP), GEWEX Radiation Panel (GRP), and GEWEX Modeling and Prediction Panel (GMPP).
The Coordinated Energy and Water Cycle Observations Project (CEOP) is the largest of the panel projects. There are several regional project areas most of these are now covered by CEOP
For CEOP which survey the hydroclimate for southern African (AMMA), Baltic Sea area (BALTEX), North America (CPPA), Eastern Amazonia (LBA), La Plate Basin (LBB), Asia (MAHASRI), Australia (MDB), and Northern Eurasia (NEEPSI). [5] In addition, CEOP coordinates the study of region types, such as cold, high altitude, monsoon, and semiarid climates [5] and collects and formulates modelling on global, regional scale including land surface and surface hydrology modelling. [22] Since GEWEX is an international cooperation it can utilize information from existing and planned satellites.
The CEOP project has a number of energy budget and water cycle objectives. First is to produce more consistent research with better error definitions. Second is to better determine how energy flux and water cycles involve in feedback mechanisms. Third is to the predictability of important variables and improved parametric analysis to better model these processes. Fourth, to collaborate with other hydrological science projects to create tools for assessing the water-system consequences of predictions and global climate change. [23]
GEWEX Radiation panel (GRP) is a collaborative organization with a goal of reviewing theoretical and experimental knowledge of radiative processes within the climate system. [24] Sixty percent of the energy that comes to Earth from the Sun is transformed by the earth. [25] [26] The goals of this collaboration is to determine how energy is transformed as it inevitably is radiated back into space.
GPCP task was to estimate precipitation using satellites that were global including places where people were not present to take measurements. Secondarily the project was tasked with studying regional precipitation on seasonal to between year time scales. As the study period of the project increased past 25 years a third objective was added analyze long-term variation, such as that caused by global warming. Also, in a renewed effort for better data and with more observation satellites, the GPCP, hopes to gain insights to rainfall variation on 'weather'-scale, or 4-hour periods to daily time scales. [7]
The Precipitation Assessment Group was assigned by the panel to evaluate data on precipitation emphasizing data in the Global Precipitation Climatology Project (GPCP) product (GRP project). The GRP prepares to assimilate data from GPCP diurnal variation data for better estimation of the global precipitation products. [7] The result of 25 years of measurement the global average precipitation rate is 2.61 mm per/day (about 0.1 inch/day) with about 1% uncertainty. The finding suggests there is no significant variation in mean annual rainfall. [7] Regional variation was separated from land and ocean and the land variation of received precipitation was greater than the ocean. Satellites used to train the dataset analysis have the flaw of not having inaccurate measurements of drizzle and snow, and lack measurements in isolated places and over oceans. The rainfall maps show the greatest absolute rainfall error over the tropical oceans in regions with the highest estimated rainfall. The report self-critiques two aspects: the lack of polar-crossing satellites at the beginning of the study and the inability to correlate new information and older information (ground-based measurements). The noticeable trends in the dataset were deemed insignificant with regard to issues like global warming, but some stand-out positive trends over the Indopacific region were notable (Bay of Bengal and Indochina) and negative trends over South Central Africa.
The SRB project under NASA/GEWEX took global radiation measurements to determine radiative energy fluxes. The energy that comes from the sun strikes the atmosphere and scatters, clouds and is reflected, the earth or water where heat and light are radiated back into the atmosphere or space. When water is struck heated surface water can evaporate carrying energy back into space through cloud formation and rain. The SRB project measured these processes by measuring fluxes at the Earth's surface, top-of-atmosphere with shortwave (SW) and longwave (LW) radiation.
At the onset of GEWEX there was inadequate information on how radiation redistributed, both horizontally and vertically.
BSRN is a global system of less than 40 widely spread radiation measuring devices designed to measure changes in radiation at the Earth's surface. The information obtained is stored at the World Radiation Monitoring Center (WRMC) at the ETH (Zurich). [27]
Established by Radiation Sciences Program(NASA) and GEWEX in 1998 to analyze satellite and field data to determine the distribution of aerosols, how they are formed, transformed and transported. [28]
The GEWEX cloud assessment was initiated by the GEWEX Radiation Panel (GRP) in 2005 to evaluate the reliability of available, global, long-term cloud data products, with a special emphasis on ISCCP. [29]
The GEWEX modelling and prediction panel (GMPP) is charged with the task of finding better ways to use the data by other projects and other agencies. It oversees GEWEX Atmospheric Boundary Layer Study (GABLS), GEWEX Cloud System Study (GCSS), and Global Land/Atmosphere System Study(GLASS). Climate forcing is a process of study which observes the contribution of irregular events, such a volcano eruption, greenhouse warming, solar variation, fluctuations in the Earth's orbit, long-term variation in the oceans circulation. The GMPP exploits these natural perturbations to test models developed that should predict what happens to global energy and water budgets with the perturbations.
GEWEX Atmospheric Boundary Layer Study (GABLS) is a more recent addition to GEWEX. The study is tasked with understanding the physical properties of the atmospheric boundary layers for better models which include representation of boundary layers.
GEWEX Cloud System Study (GCSS) task is to individualize modelling for different types of cloud systems. GCSS identifies 5 types of cloud systems:boundary layer, cirrus, extra tropical layer, precipitating convective, and polar. These cloud systems are generally too small to be rationalized in large scale climate modelling, this results in inadequate development of equations resulting in greater statistical uncertainty in results. In order to rationalize these processes, the study observes cloud systems at single fixed positions on earth in order to better estimate their parameters. These four areas are: Azores and Madeira Islands, Barbados, Equatorial Western Pacific, and Atlantic Tropics. The initial data collection is complete, methods developed for land and aircraft-based observations can be compared with satellite observations so that better models of cloud system identification can be made at smaller scales.
Global Land/Atmosphere System Study (GLASS) tries to understand the impact on land surface parameters on the atmosphere. Changes in land as a result of natural and man-made activities results in the ability to alter the local climate and affect wind and cloud formation.
The GEWEX project has been in existence for over 30 years, and while some climate oscillations are short, such as El-Nino, some climate oscillations last for decades, such as the North Atlantic Oscillation. [30] Some have proposed extrapolating pre-GEWEX information using new information and measurements taken with pre-GEWEX technology. [13] [31] The MAGS project, located in Northwestern Canada utilized indigenous peoples traditional experiences. [32] In addition, in other parts of the GEWEX study, these oscillations are an aspect of climate forcing, which allow testing of predictions and models. This modelling may be complicated by the fact that the North Atlantic Oscillation in switching state (see graph) as the effects of global warming are becoming more prominent. For example, 2006 and 2007 saw one of the most dramatic declines in Arctic Sea ice, a decline that was largely unpredicted and can shift the late summer albedo in the northern hemisphere. In 2008, sea ice extent decline has backed off from the previous years' trend, and researchers had forecast a strong La Nina event for late 2007 and 2008. [33] However, unexpectedly the surface temperatures in the Eastern Pacific have already begun to rise to El-Nino temperature ranges, indicating the La Nina event may terminate unexpectedly. With this, the loss of Northern Polar sea ice has begun to accelerate back toward the earlier trend. Such rapid and unexpected changes in climate-forcing events eventually suggest that modellers need to include parameters such as ocean temperature thermoclines, energy accumulation in the tropical oceans, sea ice extents in the polar regions, land glacial ice retraction in Greenland, and sheet ice and shelf ice remodelling in Antarctica. When multiple climate-forcing influences are acting simultaneously in which one of the events will eventually take dominance, lack of precedents from the past study of similar confluences of events, as well as knowledge of the uncertainty of sensitive 'switches' in the oceanic/atmospheric switches may affect the ability to provide accurate models and predictions. In addition, sampling points may be spread to monitor leading indicators in one common scenario may be useless during an oscillation where the pool of energy shifts to an unmonitored region so that the magnitude of the shift avoids computation.
An example of climate-forcing anomalies might be used to describe the events of 1998 to 2002, a strong El-Nino/La Nina cycle. The onset of the cycle can be influenced by global warming, which facilitated a larger increase of warm water in the tropics, rapidly enough that the thermocline was tolerant. A thermocline is a sharp temperature drop at depth; it varies during the year, with location, and over long periods of time. As the thermocline depth increases El-Nino events are more likely; however, during the peak of the event energy is dissipated and the thermocline decreases depth, possibly to below normal levels so the a strong La-Nina event can results. The world's oceans, particularly the depths of the Atlantic, are believed to be a sink for CO2 that is adsorbed at the polar regions, as this builds into the Pacific the upwelling and warming of water can bring CO2-rich waters trapped in the cold pressurized bottom layers to the surface. Local increases of CO2 occur which allow more heat-trapping; the La-Nina may be mild or aborted early in the process. However, if the return of the thermocline has enough momentum it could propel a strong La-Nina event that last for a few years. However, rapid cooling in the Arctic can allow for more CO2 trapping and offset release of CO2 during La-Nina in a specific area. The Pacific Decadal Anomaly (PDA See image) may influence the source, direction or momentum of rise of the cold water component of the thermocline. [34] The extent and duration of the PDA are yet unpredictable, and its modulating effects on El-Nino/La-Nina patterns can only be speculated. These unknowns affect the ability for climate modellers to predict and indicate climate-forcing models need to accurate a wider sampling of data to be predictive.
There are also longer-term cycles, the mini ice-age that preceded the medieval warm period may have been a transition to an ice age, the last ice-age lasted from ~130,000 years ago until the onset of the Holocene. This ice-age may have been aborted by other factors including global warming. Such a stalling of long-term cycles is believed to be a factor in the Dryas period, a warming interrupted by surface impacts of extraterrestrial origin may have occurred over hundreds of years. But the anthropogenic greenhouse effects and changing insolation patterns may have unpredictable long-term effects. Reductions of glacial ice on land masses can cause isostatic rebounds and may affect earthquakes and volcanism over a wide range. Rising sea levels can also affect patterns, and was seen in Indonesia, simply drilling a gas well in the wrong place may have touched off a mud volcano and there are some signs that this may precede a new caldera formation for a volcano. Over the very long term, the change in temperature of the Earth's crust on geothermal and volcanic processes is unknown. How this plays into climate-forcing events with magnitudes that are unpredictable is unknown.
The critiques at GEWEX can only be thrust at current results, which have added much more information about climate modelling that have created critiques, the major thrust of modelling was originally intended to be part of Phase II which will, after 4 years, produce its results. One of the major critiques of GEWEX phase I was land-based measurements, which are now increasing. The other major critique is the inability to capture decadal rainfall events, events that frequently occur over a few hours. Therefore, more measurements documenting shorter time frames may provide essential data for almost continuous data set. Therefore, Phase II is mainly modelling with addition of more data as deemed lacking in Phase I. Many of the critiques above may be compensated for with better data requiring better models including insolation and changes in reflection. The problem with variation in ocean currents, particular with respect to thermocline depths requires more oceanography as part of the project, as with losses of ice and changes of climate on the ice edges.
Albedo is the fraction of sunlight that is diffusely reflected by a body. It is measured on a scale from 0 to 1. Surface albedo is defined as the ratio of radiosity Je to the irradiance Ee received by a surface. The proportion reflected is not only determined by properties of the surface itself, but also by the spectral and angular distribution of solar radiation reaching the Earth's surface. These factors vary with atmospheric composition, geographic location, and time.
Numerical climate models are mathematical models that can simulate the interactions of important drivers of climate. These drivers are the atmosphere, oceans, land surface and ice. Scientists use climate models to study the dynamics of the climate system and to make projections of future climate and of climate change. Climate models can also be qualitative models and contain narratives, largely descriptive, of possible futures.
Cloud feedback is a type of climate change feedback that has been difficult to quantify in climate models. Clouds can either amplify or dampen the effects of climate change by influencing Earth's energy balance. This is because clouds can affect the magnitude of climate change resulting from external radiative forcings. On the other hand, clouds can affect the magnitude of internally generated climate variability. Climate models represent clouds in different ways, and small changes in cloud cover in the models have a large impact on the predicted climate. Changes in cloud cover are closely coupled with other feedbacks, including the water vapor feedback and ice–albedo feedback.
CLIVAR is a component of the World Climate Research Programme. Its purpose is to describe and understand climate variability and predictability on seasonal to centennial time-scales, identify the physical processes responsible for climate change and develop modeling and predictive capabilities for climate modelling.
Earth's energy budget accounts for the balance between the energy that Earth receives from the Sun and the energy the Earth loses back into outer space. Smaller energy sources, such as Earth's internal heat, are taken into consideration, but make a tiny contribution compared to solar energy. The energy budget also accounts for how energy moves through the climate system. The Sun heats the equatorial tropics more than the polar regions. Therefore, the amount of solar irradiance received by a certain region is unevenly distributed. As the energy seeks equilibrium across the planet, it drives interactions in Earth's climate system, i.e., Earth's water, ice, atmosphere, rocky crust, and all living things. The result is Earth's climate.
This is a list of meteorology topics. The terms relate to meteorology, the interdisciplinary scientific study of the atmosphere that focuses on weather processes and forecasting.
The Tropical Rainfall Measuring Mission (TRMM) was a joint space mission between NASA and JAXA designed to monitor and study tropical rainfall. The term refers to both the mission itself and the satellite that the mission used to collect data. TRMM was part of NASA's Mission to Planet Earth, a long-term, coordinated research effort to study the Earth as a global system. The satellite was launched on 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. TRMM operated for 17 years, including several mission extensions, before being decommissioned on 15 April 2015. TRMM re-entered Earth's atmosphere on 16 June 2015.
The Global Climate Observing System (GCOS) was established in 1992 as an outcome of the Second World Climate Conference, to ensure that the observations and information needed to address climate-related issues are obtained and made available to all potential users. The GCOS is co-sponsored by the World Meteorological Organization (WMO), the Intergovernmental Oceanographic Commission (IOC) of UNESCO, the United Nations Environment Programme (UNEP), and the International Council for Science (ICSU). In order to assess and monitor the adequacy of in-situ observation networks as well as satellite-based observing systems, GCOS regularly reports on the adequacy of the current climate observing system to the United Nations Framework Convention on Climate Change (UNFCCC), and thereby identifies the needs of the current climate observing system.
The World Ocean Circulation Experiment (WOCE) was a component of the international World Climate Research Program, and aimed to establish the role of the World Ocean in the Earth's climate system. WOCE's field phase ran between 1990 and 1998, and was followed by an analysis and modeling phase that ran until 2002. When the WOCE was conceived, there were three main motivations for its creation. The first of these is the inadequate coverage of the World Ocean, specifically in the Southern Hemisphere. Data was also much more sparse during the winter months than the summer months, and there was—and still is to some extent—a critical need for data covering all seasons. Secondly, the data that did exist was not initially collected for studying ocean circulation and was not well suited for model comparison. Lastly, there were concerns involving the accuracy and reliability of some measurements. The WOCE was meant to address these problems by providing new data collected in ways designed to "meet the needs of global circulation models for climate prediction."
Over the last two centuries many environmental chemical observations have been made from a variety of ground-based, airborne, and orbital platforms and deposited in databases. Many of these databases are publicly available. All of the instruments mentioned in this article give online public access to their data. These observations are critical in developing our understanding of the Earth's atmosphere and issues such as climate change, ozone depletion and air quality. Some of the external links provide repositories of many of these datasets in one place. For example, the Cambridge Atmospheric Chemical Database, is a large database in a uniform ASCII format. Each observation is augmented with the meteorological conditions such as the temperature, potential temperature, geopotential height, and equivalent PV latitude.
Baseline Surface Radiation Network (BSRN) is a project of the World Climate Research Programme (WCRP) and the Global Energy and Water Cycle Experiment (GEWEX) and as such is aimed detecting important changes in the Earth's radiation field at the Earth's surface which may be related to climate changes. The central archive of the BSRN is the World Radiation Monitoring Center (WRMC) which was initiated by Atsumu Ohmura in 1992 and operated at ETH until 2007. Since 2008 the WRMC is operated by the Alfred Wegener Institute for Polar and Marine Research (AWI), Germany.
GCOM, is a JAXA project of long-term observation of Earth environmental changes. As a part of Japan's contributions to GEOSS, GCOM will be continued for 10 to 15 years with observation and utilization of global geophysical data such as precipitation, snow, water vapor, aerosol, for climate change prediction, water management, and food security. On May 18, 2012, the first satellite "GCOM-W" was launched. On December 23, 2017, the second satellite "GCOM-C1" was launched.
Chesapeake Light is an offshore lighthouse marking the entrance to the Chesapeake Bay. The structure was first marked with a lightship in the 1930s, and was later replaced by a "Texas Tower" in 1965. The lighthouse was eventually automated and was used for supporting atmospheric measurement sites for NASA and NOAA. Due to deteriorating structural conditions, the lighthouse was deactivated in 2016. At the time, it was the last remaining "Texas Tower" still in use due to obsolescence.
Jagadish Shukla is an Indian meteorologist and Distinguished University Professor at George Mason University in the United States.
This is a list of climate change topics.
Megha-Tropiques was a satellite mission to study the water cycle in the tropical atmosphere in the context of climate change. A collaborative effort between Indian Space Research Organisation (ISRO) and French Centre National d’Etudes Spatiales (CNES), Megha-Tropiques was successfully deployed into orbit by a PSLV rocket in October 2011.
The International Satellite Cloud Climatology Project (ISCCP) was established as the first project of the World Climate Research Program (WCRP). Since its inception in 1982, there have been two phases, 1983–1995 and 1995–2009. The project is responsible for collection and analysis of weather satellite radiance measurements. It infers clouds' global distribution and properties, along with their diurnal, seasonal, and interannual variations. The results are studied to understand clouds in climate, including their effects on radiative energy exchanges, plus their role in the global water cycle. These datasets provide a systematic view of cloud behavior.
Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) is a NASA Earth-observing satellite mission that will continue and advance observations of global ocean color, biogeochemistry, and ecology, as well as the carbon cycle, aerosols and clouds. PACE will be used to identify the extent and duration of phytoplankton blooms and improve understanding of air quality. These and other uses of PACE data will benefit the economy and society, especially sectors that rely on water quality, fisheries and food security.
The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) was a five-year scientific research program that investigated aspects of phytoplankton dynamics in ocean ecosystems, and how such dynamics influence atmospheric aerosols, clouds, and climate. The study focused on the sub-arctic region of the North Atlantic Ocean, which is the site of one of Earth's largest recurring phytoplankton blooms. The long history of research in this location, as well as relative ease of accessibility, made the North Atlantic an ideal location to test prevailing scientific hypotheses in an effort to better understand the role of phytoplankton aerosol emissions on Earth's energy budget.
Moustafa T. Chahine was an atmospheric scientist and an international leader in atmospheric remote sensing using satellite observations. He was the Science Team Leader for the Atmospheric Infrared Sounder on NASA's Earth Observing System Aqua satellite, and the Chairman of the Global Energy and Water Exchanges (GEWEX) Science Steering Group of the World Climate Research Program (WCRP).