First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS)

Su, Zhongbo; Fernàndez–Prieto, Diego; Timmermans, J.; Chen, Xuelong; Hungershoefer, K.; Roebeling, Rob; Schröder, Marc; Schulz, Jörg B.; Stammes, P.; Wang, P.; Wolters, E.

doi:10.1016/j.jag.2013.08.002

Cited by 17 publications

(12 citation statements)

References 112 publications

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“…Such long records are available from the AMSR-E satellite used here (May 2002-October 2011, and increasingly from the active microwave ASCAT series (ongoing from October 2006). Carefully merged multisatellite records, such as the 30-year record being produced by the Water Cycle Multi-mission Observation Strategy (WACMOS) project (Su et al, 2014;Liu et al, 2012) are also now providing data records of unprecedented length. As with SM short , an important caveat on this finding is that it is possible that the reduced SM long ubMSE was associated with reduced representativity differences compared to the in situ observations, rather than a true model improvement.…”

Section: Discussionmentioning

confidence: 99%

The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales

Draper

Reichle

2015

Hydrol. Earth Syst. Sci.

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Abstract. A 9 year record of Advanced Microwave Scanning Radiometer -Earth Observing System (AMSR-E) soil moisture retrievals are assimilated into the Catchment land surface model at four locations in the US. The assimilation is evaluated using the unbiased mean square error (ubMSE) relative to watershed-scale in situ observations, with the ubMSE separated into contributions from the subseasonal (SM short ), mean seasonal (SM seas ), and inter-annual (SM long ) soil moisture dynamics. For near-surface soil moisture, the average ubMSE for Catchment without assimilation was (1.8 × 10 −3 m 3 m −3 ) 2 , of which 19 % was in SM long , 26 % in SM seas , and 55 % in SM short . The AMSR-E assimilation significantly reduced the total ubMSE at every site, with an average reduction of 33 %. Of this ubMSE reduction, 37 % occurred in SM long , 24 % in SM seas , and 38 % in SM short . For root-zone soil moisture, in situ observations were available at one site only, and the near-surface and root-zone results were very similar at this site. These results suggest that, in addition to the well-reported improvements in SM short , assimilating a sufficiently long soil moisture data record can also improve the model representation of important long-term events, such as droughts. The improved agreement between the modeled and in situ SM seas is harder to interpret, given that mean seasonal cycle errors are systematic, and systematic errors are not typically targeted by (bias-blind) data assimilation. Finally, the use of 1-year subsets of the AMSR-E and Catchment soil moisture for estimating the observation-bias correction (rescaling) parameters is investigated. It is concluded that when only 1 year of data are available, the associated uncertainty in the rescaling parameters should not greatly reduce the average benefit gained from data assimilation, although locally and in extreme years there is a risk of increased errors.

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Section: Discussionmentioning

confidence: 99%

The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales

Draper

Reichle

2015

Hydrol. Earth Syst. Sci.

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“…Relatively new data sets were generated within the Global Water Vapor Project (GVaP) providing monthly IWV fields over the globe by blending in situ radio soundings with passive remote sensing data [Randel et al, 1996]. Other WV data sets are available via the EUMETSAT Climate Monitoring-SAF (CM-SAF) [Schulz et al, 2009] and recently within the WACMOS [Su et al, 2014].…”

Section: 1002/2014rg000476mentioning

confidence: 99%

A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles

Wulfmeyer

Hardesty

Turner

et al. 2015

Reviews of Geophysics

195

150

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A review of remote sensing technology for lower tropospheric thermodynamic (TD) profiling is presented with focus on high accuracy and high temporal-vertical resolution. The contributions of these instruments to the understanding of the Earth system are assessed with respect to radiative transfer, land surface-atmosphere feedback, convection initiation, and data assimilation. We demonstrate that for progress in weather and climate research, TD profilers are essential. These observational systems must resolve gradients of humidity and temperature in the stable or unstable atmospheric surface layer close to the ground, in the mixed layer, in the interfacial layer-usually characterized by an inversion-and the lower troposphere. A thorough analysis of the current observing systems is performed revealing significant gaps that must be addressed to fulfill existing needs. We analyze whether current and future passive and active remote sensing systems can close these gaps. A methodological analysis and demonstration of measurement capabilities with respect to bias and precision is executed both for passive and active remote sensing including passive infrared and microwave spectroscopy, the global navigation satellite system, as well as water vapor and temperature Raman lidar and water vapor differential absorption lidar. Whereas passive remote sensing systems are already mature with respect to operational applications, active remote sensing systems require further engineering to become operational in networks. However, active remote sensing systems provide a smaller bias as well as higher temporal and vertical resolutions. For a suitable mesoscale network design, TD profiler system developments should be intensified and dedicated observing system simulation experiments should be performed.

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“…Precipitation is a key determining factor for planetary water cycles, the energy cycle, and many socioeconomic activities, and is also a primary input for hydrometeorological and climate models [1,2]. Therefore, accurate estimation of rainfall amounts at sufficient temporal and spatial resolutions is crucial for a wide range of applications from global climate and hydrological modeling to local weather and flood forecasting [3].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Latest GPM-Era High-Resolution Satellite Precipitation Products by Comparison with Observation Gauge Data over the Chinese Mainland

Ning

Wang

Jin

et al. 2016

Water

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Abstract:The Global Precipitation Mission (GPM) Core Observatory that was launched on 27 February 2014 ushered in a new era for estimating precipitation from satellites. Based on their high spatial-temporal resolution and near global coverage, satellite-based precipitation products have been applied in many research fields. The goal of this study was to quantitatively compare two of the latest GPM-era satellite precipitation products (GPM IMERG and GSMap-Gauge Ver. 6) with a network of 840 precipitation gauges over the Chinese mainland. Direct comparisons of satellite-based precipitation products with rain gauge observations over a 20 month period from April 2014 to November 2015 at 0.1 • and daily/monthly resolutions showed the following results: Both of the products were capable of capturing the overall spatial pattern of the 20 month mean daily precipitation, which was characterized by a decreasing trend from the southeast to the northwest. GPM IMERG overestimated precipitation by approximately 0.09 mm/day while GSMap-Gauge Ver. 6 underestimated precipitation by −0.04 mm/day. The two satellite-based precipitation products performed better over wet southern regions than over dry northern regions. They also showed better performance in summer than in winter. In terms of mean error, root mean square error, correlation coefficient, and probability of detection, GSMap-Gauge was better able to estimate precipitation and had more stable quality results than GPM IMERG on both daily and monthly scales. GPM IMERG was more sensitive to conditions of no rain or light rainfall and demonstrated good capability of capturing the behavior of extreme precipitation events. Overall, the results revealed some limitations of these two latest satellite-based precipitation products when used over the Chinese mainland, helping to characterize some of the error features in these datasets for potential users.

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First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS)

Cited by 17 publications

References 112 publications

The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales

The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales

A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles

Assessment of the Latest GPM-Era High-Resolution Satellite Precipitation Products by Comparison with Observation Gauge Data over the Chinese Mainland

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