An Overview of the Science Performances and Calibration/Validation of Joint Polar Satellite System Operational Products

Zhou, Lihang; Divakarla, Murty; Liu, Xingpin; Layns, Arron; Goldberg, Mitch

doi:10.3390/rs11060698

Cited by 54 publications

(27 citation statements)

References 78 publications

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“…The channels of the simulated GEO IR are based on the CrIS-FSR resolution (GEO CrIS-FSR for short). There are a total of 2211 channels of CrIS-FSR in three bands covering longwave (LWIR, 650−1095 cm −1 ), mid-wave (MWIR 1210 −1750 cm −1 ), and shortwave (SWIR 2155−2550 cm −1 ) bands (Zhou et al, 2019). The orbit of the GEO IR follows the current operational GOES-16 at 75.2°W.…”

Section: Synthetic Observation Simulationmentioning

confidence: 99%

Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method

Wang

et al. 2021

Adv. Atmos. Sci.

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High spectral resolution (or hyperspectral) infrared (IR) sounders onboard low earth orbiting satellites provide high vertical resolution atmospheric information for numerical weather prediction (NWP) models. In contrast, imagers on geostationary (GEO) satellites provide high temporal and spatial resolution which are important for monitoring the moisture associated with severe weather systems, such as rapidly developing local severe storms (LSS). A hyperspectral IR sounder onboard a geostationary satellite would provide four-dimensional atmospheric temperature, moisture, and wind profiles that have both high vertical resolution and high temporal/spatial resolutions. In this work, the added-value from a GEO-hyperspectral IR sounder is studied and discussed using a hybrid Observing System Simulation Experiment (OSSE) method. A hybrid OSSE is distinctively different from the traditional OSSE in that, (a) only future sensors are simulated from the nature run and (b) the forecasts can be evaluated using real observations. This avoids simulating the complicated observation characteristics of the current systems (but not the new proposed system) and allows the impact to be assessed against real observations. The Cross-track Infrared Sounder (CrIS) full spectral resolution (FSR) is assumed to be onboard a GEO for the impact studies, and the GEO CrIS radiances are simulated from the ECMWF Reanalysis v5 (ERA5) with the hyperspectral IR all-sky radiative transfer model (HIRTM). The simulated GEO CrIS radiances are validated and the hybrid OSSE system is verified before the impact assessment. Two LSS cases from 2018 and 2019 are selected to evaluate the value-added impacts from the GEO CrIS-FSR data. The impact studies show improved atmospheric temperature, moisture, and precipitation forecasts, along with some improvements in the wind forecasts. An added-value, consisting of an overall 5% Root Mean Square Error (RMSE) reduction, was found when a GEO CrIS-FSR is used in replacement of LEO ones indicating the potential for applications of data from a GEO hyperspectral IR sounder to improve local severe storm forecasts.

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Section: Synthetic Observation Simulationmentioning

confidence: 99%

Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method

Wang

et al. 2021

Adv. Atmos. Sci.

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“…Both share the same algorithm but are derived from the SNPP CrIS and the NOAA-20 CrIS datasets, respectively. The SNPP CrIS OLR are already validated [24], and were therefore used to assess the NOAA-20 CrIS OLR for the consistency test. Detailed information on the two datasets and of their comparisons can be found in [20].…”

Section: Validation Methods and Datasetsmentioning

confidence: 99%

“…In addition to SNPP and NOAA-20, CrIS will also be on the subsequent JPSS-2, JPSS-3, and JPSS-4 (scheduled to launch in 2022, 2026, and 2031 respectively). As such, the SNPP and JPSS satellites will provide the same spectral measurements for CrIS OLR products over the next two decades, which will be essential for long-term climate monitoring and model assessments [24].…”

Section: Introductionmentioning

confidence: 99%

“…To make the best utilization of CrIS for consistently long-term OLR products, it was recently expanded to include the NOAA-20 CrIS datasets (NOAA-20 was launched on 18 November 2017). The NUCAPS SNPP CrIS OLR products have been validated with the Aqua CERES OLR products, by meeting the JPSS SDR/EDR (Environmental Data Records) calibration/validation (Cal/Val) precision and accuracy requirements for large and representative cases, and have thus reached the validated maturity stage [24]. Similar validation is also necessary for NOAA-20 CrIS OLR to meet the JPSS Cal/Val maturity requirements [25].…”

Section: Introductionmentioning

confidence: 99%

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Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales

Wang

Zhou²,

Tan

et al. 2021

Remote Sensing

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The Outgoing Longwave Radiation (OLR) package was first developed as a stand-alone application, and then integrated into the National Oceanic and Atmospheric Administration (NOAA) Unique Combined Atmospheric Processing System (NUCAPS) hyperspectral sounding retrieval system. An objective of this package is to provide near-real-time OLR products derived from the Cross Track Infrared Sounder (CrIS) onboard the Joint Polar Satellite System (JPSS) satellites. It was initially developed and validated with CrIS onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite, and has been expanded to JPSS-1 (renamed NOAA-20 after launch) datasets that are currently available to the public. In this paper, we provide the results of detailed validation tests with NOAA-20 CrIS for large and wide representative conditions at a global scale. In our validation tests, the observations from Clouds and Earth’s Radiant Energy System (CERES) on Aqua were treated as the absolute reference or “truth”, and those from SNPP CrIS OLR were used as the transfer standard. The tests were performed on a 1° × 1° global spatial grid over daily, monthly, and yearly timescales. We find that the CrIS OLR products from NOAA-20 agree exceptionally well with those from Aqua CERES and SNPP CrIS OLR products in all conditions: the daily bias is within ±0.6 Wm−2, and the standard deviation (STD) ranges from 4.88 to 9.1 Wm−2. The bias and the STD of OLR monthly mean are better, within 0.3 and 2.0 Wm−2, respectively. These findings demonstrate the consistency between NOAA-20 and SNPP CrIS OLR up to annual scales, and the robustness of NUCAPS CrIS OLR products.

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“…The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument is currently flown aboard the polar-orbiting Suomi NPP (since 2011) and NOAA-20 (since 2017) satellites and expands upon the capabilities of the AVHRR and MODIS instruments for environmental monitoring (Zhou et al, 2019). VIIRS has 22 channels spanning the visible to the longwave infrared, a 3000 km swath width, and nadir pixel resolution ranging between 375 and 750 m (Goldberg et al, 2013).…”

Section: Polar-orbiting Viirs-im Frp Productmentioning

confidence: 99%

Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products

et al. 2020

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Abstract. Open burning of agricultural crop residues is widespread across eastern China, and during certain post-harvest periods this activity is believed to significantly influence air quality. However, the exact contribution of crop residue burning to major air quality exceedances and air quality episodes has proven difficult to quantify. Whilst highly successful in many regions, in areas dominated by agricultural burning, MODIS-based (MODIS: Moderate Resolution Imaging Spectroradiometer) fire emissions inventories such as the Global Fire Assimilation System (GFAS) and Global Fire Emissions Database (GFED) are suspected of significantly underestimating the magnitude of biomass burning emissions due to the typically very small, but highly numerous, fires involved that are quite easily missed by coarser-spatial-resolution remote sensing observations. To address this issue, we use twice-daily fire radiative power (FRP) observations from the “small-fire-optimised” VIIRS-IM FRP product and combine them with fire diurnal cycle information taken from the geostationary Himawari-8 satellite. Using this we generate a unique high-spatio-temporal-resolution agricultural burning inventory for eastern China for the years 2012–2015, designed to fully take into account small fires well below the MODIS burned area or active fire detection limit, focusing on dry matter burned (DMB) and emissions of CO2, CO, PM2.5, and black carbon. We calculate DMB totals 100 % to 400 % higher than reported by the GFAS and GFED4.1s, and we quantify interesting spatial and temporal patterns previously un-noted. Wheat residue burning, primarily occurring in May–June, is responsible for more than half of the annual crop residue burning emissions of all species, whilst a secondary peak in autumn (September–October) is associated with rice and corn residue burning. We further identify a new winter (November–December) burning season, hypothesised to be caused by delays in burning driven by the stronger implementation of residue burning bans during the autumn post-harvest season. Whilst our emissions estimates are far higher than those of other satellite-based emissions inventories for the region, they are lower than estimates made using traditional “crop-yield-based approaches” (CYBAs) by a factor of between 2 and 5. We believe that this is at least in part caused by outdated and overly high burning ratios being used in the CYBA, leading to the overestimation of DMB. Therefore, we conclude that satellite remote sensing approaches which adequately detect the presence of agricultural fires are a far better approach to agricultural fire emission estimation.

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An Overview of the Science Performances and Calibration/Validation of Joint Polar Satellite System Operational Products

Cited by 54 publications

References 78 publications

Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method

Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method

Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales

Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products

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