Sensitivity of the diurnal warm layer to meteorological fluctuations. Part 2: A new parameterisation for diurnal warming

Stuart-Menteth, Alice; Robinson, I. S.; Donlon, Craig

doi:10.1080/17417530500529539

Cited by 18 publications

(16 citation statements)

References 26 publications

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“…HadDTR compared well to the Stuart-Menteth et al (2005) diurnal SST parameterization based on moored buoy data (Kennedy et al 2007). HadKPP SSTs were interpolated onto the HadDTR grid prior to computing the diurnal amplitude (section 4b).…”

Section: Haddtr Diurnal Sst Amplitudementioning

confidence: 91%

The Impact of Finer-Resolution Air–Sea Coupling on the Intraseasonal Oscillation of the Indian Monsoon

et al. 2011

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A newly assembled atmosphere-ocean coupled model, called HadKPP, is described and then used to determine the effects of subdaily air-sea coupling and fine near-surface ocean vertical resolution on the representation of the Northern Hemisphere summer intraseasonal oscillation. HadKPP comprises the Hadley Centre atmospheric model coupled to the K-Profile Parameterization ocean boundary layer model.Four 30-member ensembles were performed that vary in ocean vertical resolution between 1 and 10 m and in coupling frequency between 3 and 24 h. The 10-m, 24-h ensemble exhibited roughly 60% of the observed 30-50-day variability in sea surface temperatures and rainfall and very weak northward propagation. Enhancing only the vertical resolution or only the coupling frequency produced modest improvements in variability and just a standing intraseasonal oscillation. Only the 1-m, 3-h configuration generated organized, northward-propagating convection similar to observations. Subdaily surface forcing produced stronger upper-ocean temperature anomalies in quadrature with anomalous convection, which likely affected loweratmospheric stability ahead of the convection, causing propagation. Well-resolved air-sea coupling did not improve the eastward propagation of the boreal summer intraseasonal oscillation in this model.Upper-ocean vertical mixing and diurnal variability in coupled models must be improved to accurately resolve and simulate tropical subseasonal variability. In HadKPP, the mere presence of air-sea coupling was not sufficient to generate an intraseasonal oscillation resembling observations.

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Section: Haddtr Diurnal Sst Amplitudementioning

confidence: 91%

The Impact of Finer-Resolution Air–Sea Coupling on the Intraseasonal Oscillation of the Indian Monsoon

et al. 2011

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“…The latter two ''afternoon'' satellites cross the equator close to ;0140 and ;0200 LT. Typically, diurnal cooling in SST between 2130 and 0200 LT does not exceed ;0.1 K (e.g., Garand 2003;Stuart-Menteth et al 2005;Kennedy et al 2007;Gentemann and Minnett 2008). Nighttime BT biases in all bands and from all platforms are thus expected to be within several hundredths of a kelvin, a little larger in the transparent channel 3B and smaller in the more opaque channels 4 and 5.…”

Section: Using Micros To Monitor Sensor Performancementioning

confidence: 99%

Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS)

Liang

Ignatov

2011

Journal of Atmospheric and Oceanic Technology

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Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS) is a Web-based tool to monitor ''model minus observation'' (M 2 O) biases in clear-sky brightness temperatures (BTs) and sea surface temperatures (SSTs) produced by the Advanced Clear-Sky Processor for Oceans (ACSPO). Currently, MICROS monitors M 2 O biases in three Advanced Very High Resolution Radiometer (AVHRR) bands centered at 3.7, 11, and 12 mm for five satellites, and Meteorological Operational (MetOp)-A. The fast Community Radiative Transfer Model (CRTM) is employed to simulate clear-sky BTs, using Reynolds SST and National Centers for Environmental Prediction Global Forecast System profiles as input. Simulated BTs are used in ACSPO for improving cloud screening, physical SST inversions, and monitoring and validating satellite BTs. The key MICROS objectives are to fully understand and reconcile CRTM and AVHRR BTs, and to minimize cross-platform biases through improvements to ACSPO algorithms, CRTM and its inputs, satellite radiances, and skin-bulk and diurnal SST modeling.Initially, MICROS was intended for internal use within the National Environmental Satellite, Data, and Information Service (NESDIS) SST team for testing and improving ACSPO products. However, it has quickly outgrown this initial objective and is now used by several research and applications groups. In particular, inclusion of double differences in MICROS has contributed to sensor-to-sensor monitoring within the Global Space-Based Intercalibration System, which is customarily performed using the well-established simultaneous nadir overpass technique. Also, CRTM scientists have made a number of critical improvements to CRTM using MICROS results. They now routinely use MICROS to continuously monitor M 2 O biases and validate and improve CRTM performance. MICROS is also instrumental in evaluating the accuracy of the first-guess SST and upper-air fields used as input to CRTM. This paper gives examples of these applications and discusses ongoing work and future plans.

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“…In our case, the amplitude of the satellite-derived temperature daily cycle is up to 3.5 o C. Several methods of removing the effect of diurnal warming have been proposed based on wind and surface heat-flux data (Gentemann et al, 2003;Stuart-Menteth et al, 2004;Nardelli et al, 2004). However, seemingly, there is no well established parameterization of the "skin effect"…”

Section: Filtering With Different Timing and Frequency: Bias Of The Dmentioning

confidence: 99%

Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data

Losa

Danilov

Schröter

et al. 2012

Journal of Marine Systems

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The operational ocean prediction model for the North and Baltic Seas of the German Maritime and Hydrographic Agency (BSH) is augmented with a multivariate data assimilation (DA) system. We report on the implementation and performance of the scheme which is based on ensemble forecasting. 2011. The quality of the predicted fields that were not assimilated (velocities, sea level and salinity) is preserved as is confirmed by independent in situ data.The results have required adjustment of the conditional data error statistics.The experiments conducted with different timing and frequency of data assimilation and variable forecasting periods show that the DA system corrects systematic model uncertainties and, due to memory to the corrections, improves prediction over periods of up to 5 days. The results also explicitly illustrate a lower quality of the AVHRR daytime product and reveal low informative influence of the data on the forecasting system when daytime SSTs are assimilated additionally to midnight observations.

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Sensitivity of the diurnal warm layer to meteorological fluctuations. Part 2: A new parameterisation for diurnal warming

Cited by 18 publications

References 26 publications

The Impact of Finer-Resolution Air–Sea Coupling on the Intraseasonal Oscillation of the Indian Monsoon

The Impact of Finer-Resolution Air–Sea Coupling on the Intraseasonal Oscillation of the Indian Monsoon

Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS)

Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data

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