Clouds and the Earth's Radiant Energy System (CERES) instrument level 1 science data validation plan for geolocated radiances

1996 ◽  
Author(s):  
Robert B. Lee III ◽  
Brooks A. Childers ◽  
G. Louis Smith ◽  
Jack Paden ◽  
Dhirendra K. Pandey ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Energy System ◽  
Data Validation ◽  
Science Data ◽  
Validation Plan ◽  
Level 1 ◽  
Instrument Level

scholarly journals CERES S’COOL Project Update: The Evolution and Value of a Long-Running Education Project with a Foundation in NASA Earth Science Missions

2017 ◽  
Vol 98 (3) ◽  
pp. 473-483 ◽  
Author(s):  
Lin H. Chambers ◽  
Megan A. McKeown ◽  
Sarah A. McCrea ◽  
Ann M. Martin ◽  
Tina M. Rogerson ◽  
...  
Keyword(s):  
Earth Science ◽  
Radiant Energy ◽  
Energy System ◽  
Time Of Day ◽  
Ocean Basin ◽  
Educational Outreach ◽  
School Students ◽  
Science Data ◽  
Insight Into

Abstract In January 1997, the Students’ Cloud Observations Online (S’COOL; http://scool.larc.nasa.gov) project began with NASA scientists visiting rural Gloucester, Virginia, to observe clouds with middle school students. In the nearly 20 years since, this educational outreach component of NASA’s Clouds and the Earth’s Radiant Energy System (CERES) mission has collected ∼144,500 observations from every continent and ocean basin around the world. Thousands of students, educators, and cloud-watching enthusiasts have participated in S’COOL. More than half of S’COOL observation reports correspond to one or more CERES overpasses. A thorough analysis of collocated S’COOL and satellite data were conducted during summer 2015. Results showed that the S’COOL community reports high-quality observations providing useful insights on the strengths and shortcomings of passive cloud remote sensing from space. This reconfirms the utility of S’COOL observations to the scientific community and enables deeper insight into challenges associated with validation of space-based cloud property retrievals. To maintain long-term participation, S’COOL has added components that involve participants directly with science data analysis, strengthening ties to CERES research and deepening engagement. Whenever possible, the S’COOL team sends corresponding subsets of CERES data for the participant to compare to their report. Observations can now be matched to images and cloud retrievals from multiple satellites and instruments. Recent connections to geostationary data make cloud observations at almost any time of day over nonpolar regions useful for validation. This attention to inviting participants into an authentic science experience is key to the long-term success of the project.

scholarly journals Radiometric Performance of the CERES Earth Radiation Budget Climate Record Sensors on the EOS Aqua and Terra Spacecraft through April 2007

2011 ◽  
Vol 28 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Kory J. Priestley ◽  
G. Louis Smith ◽  
Susan Thomas ◽  
Denise Cooper ◽  
Robert B. Lee ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Energy System ◽  
Radiation Budget ◽  
Calibration Data ◽  
Climate Data ◽  
Science Data ◽  
Data Products ◽  
Earth Radiation Budget ◽  
Accuracy And Stability ◽  
Earth Radiation

Abstract The Clouds and the Earth’s Radiant Energy System (CERES) flight models 1 through 4 instruments were launched aboard NASA’s Earth Observing System (EOS) Terra and Aqua spacecraft into 705-km sun-synchronous orbits with 10:30 p.m. and 1:30 a.m. local time equatorial crossing times. With these instruments CERES provides state-of-the-art observations and products related to the earth’s radiation budget at the top of the atmosphere (TOA). The archived CERES science data products consist of geolocated and calibrated instantaneous filtered and unfiltered radiances through temporally and spatially averaged TOA, surface, and atmospheric fluxes. CERES-filtered radiance measurements cover three spectral bands: shortwave (0.3–5 μm), total (0.3>100 μm), and an atmospheric window channel (8–12 μm). CERES climate data products realize a factor of 2–4 improvement in calibration accuracy and stability over the previotus Earth Radiation Budget Experiment (ERBE) products. To achieve this improvement there are three editions of data products. Edition 1 generates data products using gain coefficients derived from ground calibrations. After a minimum of four months, the calibration data are examined to remove drifts in the calibration. The data are then reprocessed to produce the edition 2 data products. These products are available for science investigations for which an accuracy of 2% is sufficient. Also, a validation protocol is applied to these products to find problems and develop solutions, after which edition 3 data products will be computed, for which the objectives are calibration stability of better than 0.2% and calibration traceability from ground to flight of 0.25%. This paper reports the status of the radiometric accuracy and stability of the CERES edition 2 instrument data products through April 2007.

Evaluation of net shortwave radiation over China with a regional climate model

2020 ◽  
Vol 80 (2) ◽  
pp. 147-163
Author(s):  
X Liu ◽  
Y Kang ◽  
Q Liu ◽  
Z Guo ◽  
Y Chen ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Radiant Energy ◽  
Energy System ◽  
Radiation Budget ◽  
Shortwave Radiation ◽  
Monsoon Region ◽  
Clear Sky ◽  
Sky Conditions

The regional climate model RegCM version 4.6, developed by the European Centre for Medium-Range Weather Forecasts Reanalysis, was used to simulate the radiation budget over China. Clouds and the Earth’s Radiant Energy System (CERES) satellite data were utilized to evaluate the simulation results based on 4 radiative components: net shortwave (NSW) radiation at the surface of the earth and top of the atmosphere (TOA) under all-sky and clear-sky conditions. The performance of the model for low-value areas of NSW was superior to that for high-value areas. NSW at the surface and TOA under all-sky conditions was significantly underestimated; the spatial distribution of the bias was negative in the north and positive in the south, bounded by 25°N for the annual and seasonal averaged difference maps. Compared with the all-sky condition, the simulation effect under clear-sky conditions was significantly better, which indicates that the cloud fraction is the key factor affecting the accuracy of the simulation. In particular, the bias of the TOA NSW under the clear-sky condition was <±10 W m-2 in the eastern areas. The performance of the model was better over the eastern monsoon region in winter and autumn for surface NSW under clear-sky conditions, which may be related to different levels of air pollution during each season. Among the 3 areas, the regional average biases overall were largest (negative) over the Qinghai-Tibet alpine region and smallest over the eastern monsoon region.

scholarly journals Coloration determination of spectral darkening occurring on a broadband Earth observing radiometer: application to Clouds and the Earth's Radiant Energy System (CERES)

2006 ◽  
Author(s):  
Grant Matthews ◽  
Kory Priestley ◽  
Norman G. Loeb ◽  
Konstantin Loukachine ◽  
Susan Thomas ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Energy System

Clouds and Earth radiant energy system: an overview

2004 ◽  
Vol 33 (7) ◽  
pp. 1125-1131 ◽  
Author(s):  
G.Louis Smith ◽  
Bruce A. Wielicki ◽  
Bruce R. Barkstrom ◽  
Robert B. Lee ◽  
Kory J. Priestley ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Energy System

Characterization of the clouds and the Earth's radiant energy system (CERES) sensors on Terra and Aqua spacecraft

2010 ◽  
Author(s):  
Susan Thomas ◽  
K. J. Priestley ◽  
N. M. Smith ◽  
N. G. Loeb ◽  
P. C. Hess ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Energy System

scholarly journals Evaluation of Surface Upward Longwave Radiation in the CMIP6 Models with Ground and Satellite Observations

2021 ◽  
Vol 13 (21) ◽  
pp. 4464
Author(s):  
Jiawen Xu ◽  
Xiaotong Zhang ◽  
Chunjie Feng ◽  
Shuyue Yang ◽  
Shikang Guan ◽  
...  
Keyword(s):  
General Circulation ◽  
Bayesian Model Averaging ◽  
Mean Squared Error ◽  
Radiant Energy ◽  
Coupled Model ◽  
Model Averaging ◽  
Longwave Radiation ◽  
Energy System ◽  
General Circulation Models ◽  
The Individual

Surface upward longwave radiation (SULR) is an indicator of thermal conditions over the Earth’s surface. In this study, we validated the simulated SULR from 51 Coupled Model Intercomparison Project (CMIP6) general circulation models (GCMs) through a comparison with ground measurements and satellite-retrieved SULR from the Clouds and the Earth’s Radiant Energy System, Energy Balanced and Filled (CERES EBAF). Moreover, we improved the SULR estimations by a fusion of multiple CMIP6 GCMs using multimodel ensemble (MME) methods. Large variations were found in the monthly mean SULR among the 51 CMIP6 GCMs; the bias and root mean squared error (RMSE) of the individual CMIP6 GCMs at 133 sites ranged from −3 to 24 W m−2 and 22 to 38 W m−2, respectively, which were higher than those found between the CERES EBAF and GCMs. The CMIP6 GCMs did not improve the overestimation of SULR compared to the CMIP5 GCMs. The Bayesian model averaging (BMA) method showed better performance in simulating SULR than the individual GCMs and simple model averaging (SMA) method, with a bias of 0 W m−2 and an RMSE of 19.29 W m−2 for the 133 sites. In terms of the global annual mean SULR, our best estimation for the CMIP6 GCMs using the BMA method was 392 W m−2 during 2000–2014. We found that the SULR varied between 386 and 393 W m−2 from 1850 to 2014, exhibiting an increasing tendency of 0.2 W m−2 per decade (p < 0.05).

Sign in / Sign up

Export Citation Format

Share Document