Refractivity and temperature climate records from multiple radio occultation satellites consistent within 0.05%

Foelsche, Ulrich; Scherllin‐Pirscher, Barbara; Ladstädter, Florian; Steiner, Andrea; Kirchengast, Gottfried

doi:10.5194/amt-4-2007-2011

Cited by 88 publications

(87 citation statements)

References 46 publications

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“…Altitude and latitude resolved zonal‐mean temperature climatologies based on RO data from different F3C satellites show excellent agreement with differences of <0.1 K between 8 km and 35 km altitude, and of <0.04 K in the overall mean [ Foelsche et al , 2008c, 2009a]. Pirscher [2010] and Foelsche et al [2011] carried out a detailed validation of multisatellite climatologies of fundamental atmospheric variables. Figure 1 illustrates the consistency of monthly temperature climatologies (with sampling error subtracted) from different satellites, GPS/Met, CHAMP, SAC‐C, GRACE, and F3C‐FM1 to F3C‐FM6 [cf.…”

Section: Ro Missions Data Characteristics and Error Estimatesmentioning

confidence: 99%

“…The agreement at 25 km to 35 km is basically around 0.2 K and at most <0.3 K. At 8 km to 25 km the agreement is better than 0.1 K, and <0.05 K in the global mean. No indications for instrument degradation, instationarities in the RO records or temporal trends in sampling pattern were found [ Foelsche et al , 2011], demonstrating that it is possible to combine RO climatologies from different satellites to a single climate record without inter‐calibration or correction, provided the same processing system is used.…”

Section: Ro Missions Data Characteristics and Error Estimatesmentioning

confidence: 99%

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GPS radio occultation for climate monitoring and change detection

et al. 2011

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.[1] Observation of the atmospheric climate and detection of changes require high quality data. Radio Occultation (RO) using Global Positioning System (GPS) signals is based on time measurements with precise atomic clocks. It provides a long-term stable and consistent data record with global coverage and favorable error characteristics. Highest quality and vertical resolution is given in the upper troposphere and lower stratosphere (UTLS). RO data exist from the GPS/Met mission within 1995-1997, and continuous observations are available since 2001. We give a review on studies using RO data for climate monitoring and change detection in the UTLS and discuss RO characteristics and error estimates, climate change indicators, trend detection, and comparison to conventional upper-air data. These studies showed that RO parameters cover the whole UTLS with useful indicators of climate change, being most robust in the tropics. Refractivity is most sensitive in the lower stratosphere (LS) and tropopause region, pressure/geopotential height and temperature over the UTLS region. An emerging climate change signal in the RO record can be detected for geopotential height of pressure levels and for temperature, reflecting warming of the troposphere and cooling of the LS. The results are in agreement with trends in radiosonde and ERA-Interim records. Climate model trends basically agree as well but they show less warming/cooling contrast across the tropical tropopause. (Advanced) Microwave Sounding Unit LS bulk temperature anomalies show significant differences to RO. Overall, the quality of RO climate records is suitable to fulfill the requirements of a global climate change monitoring system.

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Section: Ro Missions Data Characteristics and Error Estimatesmentioning

confidence: 99%

Section: Ro Missions Data Characteristics and Error Estimatesmentioning

confidence: 99%

GPS radio occultation for climate monitoring and change detection

et al. 2011

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“…This study uses the reprocessed RO data sets processed by the Cosmic Data Analysis and Archive Center, which include occultations from the following satellite missions: Constellation Observation System for Meteorology, Ionosphere, and Climate (Anthes et al, ), Meteorological Operational Polar Satellite A/Global Navigation Satellite System Receiver for Atmospheric Sounding (Von Engeln et al, ), Meteorological Operational Polar Satellite B/Global Navigation Satellite System Receiver for Atmospheric Sounding, and the Challenging Minisatellite Payload (Wickert et al, ). Because the RO technique does not suffer from intersatellite calibration effects (Foelsche et al, ), profiles from different satellite missions can be used together as long as they are processed with the same algorithm. Temperatures from 500 to 70 hPa are taken from the level 2 wetPrf products of the above missions.…”

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confidence: 99%

Role of Latent Heating Vertical Distribution in the Formation of the Tropical Cold Trap

Chang

L’Ecuyer

2019

JGR Atmospheres

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This study examines the role of latent heating (LH) vertical distribution in tropical tropopause layer (TTL) cooling and upper‐tropospheric warming associated with equatorial wave responses using LH from the Tropical Rainfall Measurement Mission and temperature from radio occultation observations. We distinguish the effects of convective and stratiform LH in tropical convection on temperature in the upper troposphere and lower stratosphere. Cross‐spectral analysis of time series of temperature and LH shows that stratiform LH exhibits higher coherence with temperature throughout most of the upper troposphere and lower stratosphere, especially in the equatorial Rossby wave response. Coherence between total LH and temperature tends to increase with the altitude of heating. Highest coherences occur almost exclusively at time scales of the Madden‐Julian Oscillation, suggesting the importance of mesoscale convective activity in TTL cooling and subsequent dehydration processes. These results demonstrate that TTL and upper‐tropospheric temperature perturbations depend on the vertical distribution of LH and that stratiform LH release has strong relationship with the formation of the horseshoe‐shaped cold trap over the Maritime Continent and West Pacific.

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“…CC BY 3.0 License. Schmidt et al, 2005Schmidt et al, , 2008Schmidt et al, , 2010Loescher and Kirchengast, 2008;Ho et al, 2009Ho et al, , 2012Foelsche et al, 2011a;Lackner et al, 2011).…”

Section: Introductionunclassified

Evaluation of atmospheric profiles derived from single- and zero-difference excess phase processing of BeiDou System radio occultation data of the FY-3C GNOS mission

Bai¹,

Liu²,

Meng³

et al. 2017

Preprint

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The Global Navigation Satellite System (GNSS) Occultation Sounder (GNOS) is one of the 20 new generation payloads onboard the Chinese FengYun 3 (FY-3) series of operational meteorological satellites for sounding the Earth's neutral atmosphere and ionosphere. GNOS was designed for acquiring setting and rising radio occultation (RO) data by using GNSS signals from both the Chinese BeiDou System (BDS) and the U.S. Global Positioning System (GPS). An ultra-stable oscillator with 1-sec stability (Allan deviation) at the level of 10 -12 was 25 installed on FY-3C GNOS, thus both zero-difference and single-difference excess phase processing methods should be feasible for FY-3C GNOS observations. In this study we focus on evaluating zero-difference processing of BDS RO data vs. single-difference processing, in satellites. We used a 3-month set of GNOS BDS RO data (October to December 2013) for the evaluation and compared atmospheric bending angle and refractivity profiles, derived from 5 single-and zero-difference excess phase data, against co-located profiles from ECMWF (European Centre for Medium-Range Weather Forecasts) analyses. We also compared against co-located refractivity profiles from radiosondes. The statistical evaluation against these reference data shows that the results from single-and zero-difference processing are consistent in both bias and standard deviation, clearly demonstrating the feasibility of zero-10 differencing for GNOS BDS RO observations. The average bias (and standard deviation) of the bending angle and refractivity profiles were found to be as small as about 0.05%-0.2% (and 0.7%-1.6%) over the upper troposphere and lower stratosphere, including for the GEO, IGSO, and MEO subsets. Zero-differencing was found to perform slightly better, as may be expected from its lower vulnerability to noise. The validation results establish that GNOS can 15 provide, on top of GPS RO profiles, accurate and precise BDS RO profiles both from singleand zero-difference processing. The GNOS observations by the series of FY-3 satellites will thus provide important contributions to numerical weather prediction and global climate change analysis.

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Refractivity and temperature climate records from multiple radio occultation satellites consistent within 0.05%

Cited by 88 publications

References 46 publications

GPS radio occultation for climate monitoring and change detection

GPS radio occultation for climate monitoring and change detection

Role of Latent Heating Vertical Distribution in the Formation of the Tropical Cold Trap

Evaluation of atmospheric profiles derived from single- and zero-difference excess phase processing of BeiDou System radio occultation data of the FY-3C GNOS mission

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