Introduction
The tenth Deep House Local weather Observatory (DSCOVR) Earth Polychromatic Digicam (EPIC) and Nationwide Institute of Requirements and Expertise (NIST) Superior Radiometer [NISTAR] Science Staff Assembly (STM) was held October 16–18, 2024. Over 50 scientists attended, most of whom had been from NASA’s Goddard House Flight Middle (GSFC), with a number of taking part from different NASA facilities, U.S. universities, and U.S. Division of Vitality laboratories. There was one worldwide participant – from Estonia. A full overview of DSCOVR’s Earth-observing devices was revealed in a earlier article in The Earth Observer and won’t be repeated right here. This text gives the highlights of the 2024 assembly. The assembly agenda and full displays could be downloaded from GSFC’s Aura Validation Information Middle.
Opening Displays
The opening session of the tenth DSCOVR STM was particular. Former U.S., Vice President Al Gore attended the opening session and gave a presentation on the panel dialogue “Distant Sensing and the Way forward for Earth Observations” – see Photograph. Gore was concerned within the early days of planning the DSCOVR mission, which at the moment was often known as Triana. He reminisced about his involvement and praised the crew for the work they’ve accomplished over the previous decade to launch and keep the DSCOVR mission. Following the STM Opening Session, Gore spoke at a GSFC Interact session in Constructing 3 later that afternoon on the identical subject, however earlier than a wider viewers. [Link forthcoming.]
Following Gore’s remarks, the rest of the opening session consisted of a collection of displays from DSCOVR mission leaders and representatives from GSFC and Nationwide Oceanic and Atmospheric Administration (NOAA). Thomas Neumann [GSFC, Earth Sciences Division (ESD)—Deputy Director] opened the assembly and welcomed Vice President Gore and the STM contributors on behalf of the ESD. Adam Szabo [GSFC—DSCOVR Project Scientist] briefly reported that the spacecraft was nonetheless in “good well being.” The EPIC and NISTAR devices on DSCOVR proceed to return their full science observations. He additionally gave an replace on DSCOVR House Climate analysis. Alexander Marshak [GSFC—DSCOVR Deputy Project Scientist] briefly described DSCOVR mission historical past and the science outcomes primarily based on DSCOVR observations from the primary Solar–Earth Lagrange level (hereinafter, the L1 level). He additionally summarized the foremost EPIC and NISTAR outcomes to this point. At the moment, greater than 125 papers associated to DSCOVR are listed on the EPIC web site. Elsayed Talaat [NOAA, Office of Space Weather observations—Director] mentioned the way forward for Earth and house science research from the L1 level.
Updates on DSCOVR Operations
The DSCOVR mission elements proceed to perform nominally. The assembly was a possibility to replace contributors on progress over the previous yr on a number of fronts, together with knowledge acquisition, processing, and archiving, and launch of recent variations of a number of knowledge merchandise. The variety of individuals utilizing DSCOVR knowledge continues to extend, with a brand new Science Outreach Staff having been put in place to assist customers in a number of points of knowledge discovery, entry, and person friendliness.
Amanda Raab [NOAA, DSCOVR Mission Operations and Systems] reported on the present standing of the DSCOVR mission. She additionally mentioned spacecraft dangers and points resembling reminiscence fragmentation and knowledge storage job anomalies however indicated that each these points have been resolved.
Hazem Mahmoud [NASA’s Langley Research Center (LaRC)] mentioned the work of the Atmospheric Science Information Middle (ASDC), which relies at LaRC. He confirmed DSCOVR mission metrics since 2015, specializing in knowledge downloads and the worldwide outreach of the mission. He famous that there was a big rise within the variety of downloads and an growing range of nations accessing ozone (O3), aerosol, and cloud knowledge merchandise. Mahmoud additionally introduced that the ASDC is transitioning to the Amazon Net Providers cloud, which is able to additional improve world entry and streamline DSCOVR knowledge processing.
Karin Clean [GSFC] lined the invention of a brand new sort of mirage that may solely be seen in deep house from EPIC. The dialogue included using a ray tracer in figuring out the origin of the phenomenon, and underneath what circumstances it may be seen.
Alexander Cede [SciGlob] and Ragi Rajagopalan [LiftBlick OG] gave an outline of the soundness of the EPIC Degree-1A (L1A) knowledge over the primary decade of operation. They defined that the one observable adjustments within the EPIC calibration are to the darkish depend and flat subject can – and that these adjustments could be solely attributed to the temperature change of the system in orbit in comparison with prelaunch circumstances. No extra scorching or heat pixels have emerged since launch and no vital sensitivity drifts have been noticed. The outcomes that Cede and Rajagopalan confirmed that EPIC continues to be a remarkably secure instrument, which is attributed to a big extent to its orbit across the L1 level, which is situated exterior the Earth’s radiation belts and thus an especially secure temperature setting. Consequently, by way of stability, the L1 level is way superior to different Earth statement factors, e.g., ground-based, low-Earth orbit (LEO), polar orbit, or geostationary Earth orbit (GEO).
Marshall Sutton [GSFC] mentioned the state of the DSCOVR Science Operation Middle (DSOC). He additionally talked about processing EPIC Degree-1 (L1) knowledge into L2 science merchandise, each day photographs out there on the EPIC web site, and particular imaging alternatives, e.g., volcanic eruptions.
EPIC Calibration
After 10 years of operation in house, the EPIC instrument on DSCOVR continues to be a remarkably secure instrument. The three displays describe other ways which can be used to confirm the EPIC measurements stay dependable.
Conor Haney [LaRC] reported on anomalous outliers throughout February and March 2023 from the broadband shortwave (SW) flux utilizing EPIC L1B channel radiances. To make sure that these outliers weren’t a results of fluctuations within the EPIC L1B channel radiances, each the EPIC radiance measurements and coincident, ray-matched radiance measurements from the Seen Infrared Imaging Radiometer Suite (VIIRS), on the Suomi Nationwide Polar-orbiting Partnership (Suomi NPP) platform, had been processed utilizing the identical deep convective cloud invariant goal (DCC-IT) algorithm. This evaluation confirmed that the anomalous habits was because of the DCC-IT algorithm – and never due to fluctuations within the EPIC L1B channel radiances. The improved DCC-IT methodology was additionally utilized to the EPIC L1B radiances. The outcomes point out that the EPIC report is sort of secure with a decrease uncertainty than when processed utilizing the earlier DCC-IT methodology.
Igor Geogdzhaev [NASA’s Goddard Institute for Space Studies (GISS)/Columbia University] reported that EPIC Seen–Close to Infrared (VIS-NIR) calibration primarily based on VIIRS (on Suomi NPP) knowledge has confirmed wonderful stability, whereas VIIRS (on NOAA-20 and -21) derived beneficial properties comply with inside 1–2%. Preliminary evaluation confirmed continuity within the beneficial properties derived from Superior Baseline Imager (ABI) knowledge. (ABI flies on NOAA’s two operational Geostationary Operational Environmental Satellite tv for pc–Sequence R satellites – GOES-17 and GOES-18.
Liang–Kang Huang [Science Systems and Applications, Inc. (SSAI)] reported on updates to the EPIC ultraviolet (UV) channel sensitivity time dependences utilizing Solar-normalized radiance comparisons between EPIC and measurements from the Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper (NM) on Suomi NPP, with coinciding footprints and photo voltaic/satellite tv for pc angles. Huang’s crew decided vignetting components within the sensitivity calibration between 2021–2024, as a perform of cost coupled gadget (CCD) pixel radius and pixel polar angles, utilizing particular lunar measurement sequences.
NISTAR Standing and Science with Its Observations
The NISTAR instrument stays totally practical and continues its uninterrupted knowledge report. The NISTAR-related displays throughout this assembly included extra particulars on particular subjects associated to NISTAR in addition to on efforts to mix data from each EPIC and NISTAR.
Steven Lorentz [L-1 Standards and Technology, Inc.] reported that the NISTAR on DSCOVR has been measuring the irradiance from the sunlit Earth in three bands for greater than 9 years. The three bands measure the outgoing whole and reflected-solar radiation from Earth at a restricted vary of photo voltaic angles. To check the long-term stability of EPIC and NISTAR responses, researchers developed a narrowband to wideband conversion mannequin to permit the direct comparability of the EPIC multiband imagery and NISTAR SW – see Determine 1 – and silicon photodiode channels. Lorentz offered each day outcomes spanning a number of years. The comparability employed totally different detectors from the identical spacecraft – however with the identical vantage level – thereby avoiding any mannequin dependent orbital artifacts.
Clark Weaver [University of Maryland, College Park (UMD)] used spectral data from the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY), which flew on the European House Company’s (ESA) Envisat satellite tv for pc from 2002–2012, to fill EPIC spectral gaps. He reported on building of a composite top decision spectrum that was spectrally built-in to supply SW power. Weaver defined that he in contrast the EPIC mirrored SW with four-hour averages from Band 4 on NISTAR. He used spectral data from SCIAMACHY to fill in gaps. Weaver additionally mentioned outcomes of a comparability of space built-in EPIC SW power with observations from NISTAR .
Andrew Lacis [GISS] reported on outcomes of research of seven years of EPIC-derived planetary albedo for Earth, which reveal global-scale longitudinal variability occurring over a variety of frequencies – with robust correlation between close by longitudes and robust anticorrelation between diametrically opposed longitudes. This habits within the Earth’s global-scale power funds variability is totally corroborated by seven years of NISTAR silicon photodiode measurements, which view the Earth with 1º longitudinal decision. This evaluation establishes the DSCOVR mission EPIC/NISTAR measurements as a brand new and unmatched observational knowledge supply for evaluating world local weather mannequin efficiency– e.g., see Determine 2.
Wenying Su [LaRC] mentioned world daytime imply SW fluxes throughout the EPIC subject of view produced from January 2016–June 2024. These quasi-hourly SW fluxes agree very properly with the Synoptic knowledge product from the Clouds and the Earth’s Radiant Vitality System (CERES) devices (at present flying on the Terra and Aqua, Suomi NPP, and NOAA-20 platforms) with the foundation imply sq. errors (rmse) lower than 3 W/m2. This SW flux processing framework will probably be used to calculate NISTAR SW flux when Model 4 (V4) of the NISTAR radiance turns into out there. Su famous that SW fluxes from EPIC usually are not appropriate to check interannual variability because the magnitude of EPIC flux is delicate to the proportion of daytime space seen to EPIC.
Replace on EPIC Merchandise and Science Outcomes
EPIC has a suite of knowledge merchandise out there. The next subsections summarize content material through the DSCOVR STM associated to those merchandise. The updates deal with a number of knowledge merchandise and the associated algorithm enhancements.
Complete Column Ozone
Jerry Ziemke [Morgan State University (MSU), Goddard Earth Sciences Technology and Research–II (GESTAR II)] and Natalya Kramarova [GSFC] reported that tropospheric O3 from DSCOVR EPIC exhibits anomalous reductions of ~10% all through the Northern Hemisphere (NH) beginning in Spring 2020 that continues to the current. The EPIC knowledge, together with different satellite-based (e.g., Ozone Monitoring Instrument (OMI) on NASA’s Aura platform) and ground-based (e.g., Pandora) knowledge, point out that the noticed NH reductions in O3 are on account of mixed results from meteorology and lowered air pollution, together with lowered delivery air pollution in early 2020 (throughout COVID) – see Determine 3. EPIC 1–2 hourly knowledge are additionally used to guage hourly whole O3 and derived tropospheric O3 from NASA’s Tropospheric Emissions: Monitoring of Air pollution (TEMPO) geostationary instrument. Ziemke defined that comparability of TEMPO knowledge with EPIC knowledge has helped the researchers characterize a persistent latitude-dependent offset in TEMPO whole O3 knowledge of ~10–15% from south to north over the North American continent.
Algorithm Enchancment for Ozone and Sulfur Dioxide Merchandise
Kai Yang [UMD] offered a complete analysis of whole and tropospheric O3 retrievals, highlighting the long-term stability and excessive accuracy of EPIC measurements. He additionally validated EPIC’s volcanic sulfur dioxide (SO2) retrievals by evaluating them with ground-based Brewer spectrophotometer measurements and summarized EPIC’s observations of SO2 from current volcanic eruptions.
Simon Carn [University of Michigan] confirmed the primary comparisons between the EPIC L2 volcanic SO2 product and SO2 retrievals from the Geostationary Surroundings Monitoring Spectrometer (GEMS) on the Korean GEO-Kompsat-2B satellite tv for pc. GEMS observes East Asia as a part of the brand new geostationary UV air high quality (GEO-AQ) satellite tv for pc constellation (which additionally contains TEMPO that observes North America and can embrace the Ultraviolet–Seen–Close to Infrared (UVN) instrument on the European Copernicus Sentinel-4 mission, that will probably be launched in 2025 to look at Europe and surrounding areas) – however just isn’t optimized for measurements of excessive SO2 columns throughout volcanic eruptions. EPIC SO2 knowledge for the 2024 eruption of Ruang volcano in Indonesia are getting used to validate a brand new GEMS volcanic SO2 product. Preliminary comparisons present good settlement between EPIC and GEMS earlier than volcanic cloud dispersal and make sure the higher sensitivity of the hyperspectral GEMS instrument to low SO2 column quantities.
Aerosols
Alexei Lyapustin [GSFC] reported that the newest EPIC aerosols algorithm (V3) concurrently retrieves aerosol optical depth, aerosol spectral absorption, and aerosol layer top (ALH) – attaining excessive accuracy. He confirmed that world validation of the only scattering albedo within the blue and crimson exhibits 66% and 81–95% settlement respectively, with Aerosol Robotic Community (AERONET) observations – which is throughout the anticipated error of 0.03 for smoke and dirt aerosols. Lyapustin additionally reported on a comparability of EPIC aerosol knowledge collected from 2015–2023 by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), which flew on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite tv for pc Observations (CALIPSO) mission. The outcomes present that ALH is retrieved with rmse ~1.1 km (0.7 mi). ALH is unbiased over the ocean and is underestimated by 450 m (1470 ft) for the smoke and by 750 m (2460 ft) for the mud aerosols over land.
Myungje Choi and Sujung Go [both from University of Maryland, Baltimore County’s (UMBC), GESTAR II] offered outcomes from a world smoke and dirt characterization utilizing Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. This examine characterised smoke and dirt aerosol properties derived from MAIAC EPIC processing, analyzing spectral absorption, ALH, and chemical composition (e.g., black and brown carbon). Areas with smoldering wildfires, e.g., North America and Siberia, exhibited excessive ALH and a big fraction of brown carbon, whereas Central Africa confirmed decrease ALH with larger black carbon emissions.
Omar Torres [GSFC] mentioned how L1 DSCOVR-EPIC observations are getting used to check air high quality (i.e., tropospheric O3 and aerosols) globally. Torres famous that this utility of EPIC-L1 observations is of specific curiosity within the Southern Hemisphere (SH) the place, not like over the NH, there are at present no house GEO-based air high quality measurements – and no plans for them within the foreseeable future.
Hiren Jethva [MSU, GESTAR II] offered the brand new outcomes of the aerosol optical centroid top retrieved from the EPIC Oxygen-B band observations. He described the algorithm particulars, confirmed retrieval maps, and reviewed the comparative evaluation towards CALIOP backscatter-weighted measurements. The evaluation confirmed a very good stage of settlement with greater than 70% of matchup knowledge inside 1–1.5 km (0.6–0.9 mi) distinction.
Jun Wang [University of Iowa] offered his crew’s work on advancing the second era of the aerosol optical centroid top (AOCH) algorithm for EPIC. Key developments included: constraining floor reflectance in aerosol retrieval utilizing an EPIC-based climatology of floor reflectance ratios between 442–680 nm; incorporating a dynamic aerosol mannequin to characterize aged smoke particles; and using a spectral slope method to differentiate thick smoke plumes from clouds. Outcomes present that each atmospheric optical depth (AOD) and AOCH retrievals are improved within the second era of AOCH algorithm.
Olga Kalashnikova [NASA/Jet Propulsion Laboratory (JPL)] reported on enhancing brown carbon evolution processes within the Climate Analysis and Forecasting mannequin coupled with Chemistry (WRF-Chem) mannequin with EPIC merchandise. She indicated that DSCOVR product analysis, utilizing lidar aerosol top measurements from CALIOP, led to an improved operational brown carbon product. To higher resolve the temporal evolution of brown carbon, chemical transport fashions want to incorporate extra details about near-source fires.
Mike Garay [NASA/Jet Propulsion Laboratory (JPL)] mentioned constraining near-source brown carbon emissions from 2024 Canadian ‘zombie’ fires with EPIC merchandise. He reported that fires in British Columbia, Canada confirmed variations in brown carbon emission close to the sources. Garay defined that their investigation has revealed that these variations had been associated to fireplace depth and variations in vegetation/soil content material.
Yuekui Yang [GSFC] offered work that examined the influence of Earth’s curvature consideration on EPIC cloud top retrievals. Biases underneath the Aircraft Parallel (PPL) assumption is studied by evaluating outcomes utilizing the improved pseudo-spherical shell approximation. PPL retrievals generally bias excessive and for a cloud with top of 5 km (3 mi), the bias is about 6%.
Alfonso Delgado Bonal [UMBC] said that the EPIC vantage level presents a singular alternative to look at not solely the present state of the Earth but in addition its temporal evolution. By capturing a number of observations of the planet all through the day, EPIC permits statistical reconstruction of diurnal patterns in clouds and different atmospheric parameters. Bonal’s crew centered their analysis on O3 (primarily tropospheric) over the U.S. to display the presence of a diurnal cycle within the western areas of the continental U.S. Nonetheless, ground-based knowledge from PANDORA for particular areas don’t help these diurnal variations – underscoring the crucial function of space-based O3 retrievals. The proposed methodology just isn’t restricted to clouds or O3 however is broadly relevant to different EPIC measurements for the dynamic nature of our planet.
Elizabeth Berry [Atmospheric and Environmental Research (AER)] offered outcomes from a coincident DSCOVR–CloudSat dataset [covering 2015–2020]. Cloud properties (e.g., cloud top and optical depth) from DSCOVR and CloudSat are reasonably correlated and present fairly good settlement given variations within the devices sensitivities and footprints. Berry defined {that a} machine-learning mannequin skilled on the coincident knowledge demonstrates excessive accuracy at predicting the presence of vertical cloud layers. Nonetheless, precision and recall metrics spotlight the problem of predicting the exact location of cloud boundaries.
Anthony Davis [JPL] offered a pathway towards correct estimation of the cloud optical thickness (COT) of opaque clouds and cloud programs, e.g., supercells, mesoscale convective complexes, and tropical cyclones (TCs). He described the method, which makes use of differential oxygen absorption spectroscopy (DOAS) that has resolving energy higher than 104 – which is corresponding to that of the high-resolution spectrometers on NASA’s Orbiting Carbon Observatory–2 (OCO-2) – however relies upon the cloud data content material of EPIC’s O2 A- and B-band radiances. In contrast to the present operational retrieval of COT – which makes use of knowledge from the Average Decision Imaging Spectroradiometer (MODIS) on Terra and Aqua – the DOAS-based method doesn’t saturate at COT exceeding ~60. Based on a preferred TC mannequin with two-moment microphysics, COT in a tropical storm or hurricane can attain properly into the a whole lot, generally exceeding 1000. Davis stated that after the brand new COT estimates change into out there, they are going to present new observational constraints on course of and forecast fashions for TCs.
Ocean
Robert Frouin [Scripps Institution of Oceanography, University of California] mentioned ocean floor radiation merchandise derived from EPIC knowledge. He defined that vital developments have been achieved in processing and evaluating ocean biology and biogeochemistry merchandise derived from EPIC imagery. V1 updates enhanced accuracy by integrating Fashionable-Period Retrospective evaluation for Analysis and Functions V2 (MERRA-2) ancillary knowledge and refining calculations for atmospheric and floor parameters. Frouin launched a number of diurnal merchandise, together with hourly photosynthetically lively radiation (PAR) fluxes, spectral water reflectance, and chlorophyll-a concentrations. He stated that these new MODIS-derived merchandise have been validated by means of comparisons with knowledge from the Superior Himawari Imager on the Japanese Himawar–8 and –9 satellites. In an effort to tackle the gaps in these diurnal merchandise, Frouin defined that the crew developed a convolutional neural community that has been used successfully to reconstruct lacking PAR values with excessive accuracy.
Vegetation
Yuri Knyazikhin [Boston University] reported on the standing of the Vegetation Earth System Information Document (VESDR) that gives quite a lot of parameters together with: Leaf Space Index (LAI), diurnal programs of Normalized Distinction Vegetation Index (NDVI), Sunlit LAI (SLAI), Fraction of incident Photosynthetically Lively Radiation (FPAR) absorbed by the vegetation, Directional Space Scattering Perform (DASF), Earth Reflector Kind Index (ERTI), and Cover Scattering Coefficient (CSC). Knyazikhin mentioned evaluation of the diurnal and differences due to the season of those portions. EPIC LAI and FPAR are according to MODIS-derived measurements of the identical parameters.
Jan Pisek [University of Tartu/Tartu Observatory, Estonia] mentioned efforts to derive leaf inclination data from EPIC knowledge. The very first analysis over Tumbarumba web site (in New South Wales, Australia) confirmed that the angular variation in parameters obtained from EPIC displays the anticipated variations because of the erectophile vegetation current on the web site.
Solar Glint
Tamás Várnai [UMBC, JCET] mentioned EPIC observations of Solar glint from ice clouds. The cloud glints come principally from horizontally oriented ice crystals and have robust influence in EPIC cloud retrievals. Várnai reported that the EPIC glint product is offered from the ASDC – see Determine 4. Glint knowledge might help cut back the uncertainties associated to horizontally oriented ice crystals and yield extra new insights in regards to the microphysical and radiative properties of ice clouds.
Alexander Kostinski [Michigan Technology University] defined that as a result of they detected climatic alerts (i.e., longer-term adjustments and semi-permanent options, e.g., ocean glitter), they developed a method to suppress geographic “noise” in EPIC photographs that entails introducing temporally (month-to-month) and conditionally (classifying by floor/cowl sort, e.g., land, ocean, clouds) averaged reflectance photographs – see Determine 5. The ensuing photographs show seasonal dependence in a putting method. Moreover, cloud-free, ocean-only photographs spotlight distinguished areas of ocean glitter.
Jiani Yang [Caltech] reported that spatially resolving gentle curves from DSCOVR is essential for evaluating time-varying floor options and the presence of an environment. Each of those options are important for sustaining life on Earth – and thus can be utilized to evaluate the potential habitability of exoplanets. Utilizing epsilon machine reconstruction, the statistical complexity from the time collection knowledge of those gentle curves could be calculated. The outcomes present that statistical complexity serves as a dependable metric for quantifying the intricacy of planetary options. Increased ranges of planetary complexity qualitatively correspond to elevated statistical complexity and Shannon entropy, illustrating the effectiveness of this method in figuring out planets with essentially the most dynamic traits.
Different EPIC Science Outcomes
Guoyong Wen [MSU, GESTAR II] analyzed the variability of worldwide spectral reflectance from EPIC and the built-in broadband reflectance on totally different timescales. He reported that on a diurnal timescale, the worldwide reflectance variations in UV and blue bands are statistically comparable – and drastically totally different from these noticed in longer wavelength bands (i.e., inexperienced to NIR). The researchers additionally did an evaluation of month-to-month common outcomes and located that temporal averaging of the worldwide reflectance reduces the variability throughout the wavelength and that the variability of broadband reflectance is much like that for the crimson band on each timescales. These outcomes are primarily because of the rotation of the Earth on diurnal timescale and the change of the Earth’s tilt angle.
Nick Gorkavyi [Science Systems and Applications, Inc. (SSAI)] reported that EPIC – situated on the L1 level, 1.5 million km (0.9 million mi) away from Earth – can seize photographs of the far facet of the Moon in a number of wavelengths. These photographs, taken underneath full photo voltaic illumination, can be utilized to calibrate images obtained by lunar synthetic satellites. Moreover, he mentioned the influence of lunar libration – the altering view of the Moon from Earth, or it’s obvious “wobble” – on Earth observations from the Moon.
Jay Herman [UMBC] mentioned a comparability of EPIC O3 with TEMPO satellite tv for pc and Pandora ground-based measurement. The outcomes present that whole column O3 doesn’t have a big photochemical diurnal variation. As an alternative, the each day noticed diurnal variation is attributable to climate adjustments in atmospheric strain. This measurement end result agrees with mannequin calculations.
Conclusion
Alexander Marshak, Jay Herman, and Adam Szabo led a closing dialogue with ST contributors on the right way to make the EPIC and NISTAR devices extra seen in the neighborhood. It was famous that the EPIC web site now permits guests to look at each day fluctuations of aerosol index, cloud fraction, cloud top, and the ocean floor – as noticed from the L1 level. Extra each day merchandise, (e.g., aerosol top and sunlit leaf space index) will probably be added quickly, which ought to entice extra customers to the web site.
Total, the 2023 DSCOVR EPIC and NISTAR STM was profitable. It offered a possibility for contributors to study the standing of DSCOVR’s Earth-observing devices, EPIC and NISTAR, the standing of lately launched L2 knowledge merchandise, and the science outcomes being achieved from the L1 level. As extra individuals use DSCOVR knowledge worldwide, the ST hopes to listen to from customers and crew members at its subsequent assembly. The most recent updates from the mission could be discovered on the EPIC web site.
Alexander Marshak
NASA’s Goddard House Flight Middle
alexander.marshak@nasa.gov
Adam Szabo
NASA’s Goddard House Flight Middle
adam.szabo@nasa.gov
