Air-sea interacting effects to the sea surface temperature observation by NOAA/AVHRR

Yokoyama, Ryuzo; Tanba, S.; Souma, T.

doi:10.1080/01431169308904298

Cited by 14 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This difference might be another estimate for the quality of the derived LSWT since it directly affects the skin temperature. This behavior was observed by Yokoyama et al [1993] for Mutsu Bay. Positive bias in LSWT appear to match with more negative air‐bulk temperature differences and large negative errors appear with larger air‐bulk temperature differences.…”

Section: Validationsupporting

confidence: 57%

Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: Validation and feasibility study

et al. 2005

View full text Add to dashboard Cite

[1] In this study we prove the feasibility of the advanced very high resolution radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer sea surface temperature algorithms to derive operational lake surface water temperature (LSWT). A validation study covering 2 years was done using data from the AVHRR on NOAA 12, 15, 16, and 17, the MODIS on TERRA, and AQUA and with different method-ingested in situ data from different sized lakes. Best results were found for NOAA 16 nighttime data at Lake Geneva (bias of 0.18 K and standard deviation of 0.73 K) and TERRA nighttime data at Lake Constance (satellite-buoy bias of À0.08 K and standard deviation of 0.92 K). For all sensor families an overall scatter ranging from 0.9 to 1.6 K was found. Bias of MODIS is larger, À1.73 to 1.9 K, than the one of the AVHRR (À0.28 to 1.5 K). The current orbital configuration of the platforms used revealed the diurnal evolution of the lake surface temperature amplitude from space. The damped mixing found for a typical calm and clear-sky regime is different from open ocean conditions. As the main error source, we found undetected cloudy pixel. Furthermore, the physical difference between skin and bulk temperature, especially its relation to the diurnal thermocline, solar insolation, and wind stress contributes to the bias and scatter within the match-up data set. The data sets have been validated to allow further application for LSWT climatology and assimilation into numerical weather prediction models.Citation: Oesch, D. C., J.-M. Jaquet, A. Hauser, and S. Wunderle (2005), Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: Validation and feasibility study,

show abstract

Section: Validationsupporting

confidence: 57%

Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: Validation and feasibility study

et al. 2005

View full text Add to dashboard Cite

show abstract

“…Figure 3 shows its measurement pole. Temperature (Yokoyama et al 1993). The regression function is Y= X 4 + 1'613(X 4 -X,) +0·914 where Y is the estimated sea surface temperature, X 4 and X, are the brightness temperatures of channel 4 and ch, 5, respectively.…”

Section: Observation Data By Sea Surface Temperature Profiler Buoymentioning

confidence: 99%

“…Sea surface effects (SSE) provide the temperature difference between the sea surface skin and the certain depth for the sea truth. In the validation test for AVHRR data in Mutsu Bay, the authors pointed out that SSE is one of major error factors in the SST estimation (Yokoyama et al 1993). This paper is concerned with the observation of the behaviour of the vertical water temperature profile near the sea surface by using a special device.…”

Section: Introductionmentioning

confidence: 99%

Sea surface effects on the sea surface temperature estimation by remote sensing

Yokoyama

Tanba

Souma

1995

International Journal of Remote Sensing

Self Cite

View full text Add to dashboard Cite

By using a sea surface temperature profiler buoy, the behaviour of the vertical temperature profile near the sea surface was observed in Mutsu Bay. In the daytime under calm and strong sunshine condition, there occurred a large temperature difference between the uppermost sea surface and the 1m depth. The difference disappeared when the wind began to blow with a speed greater than 4 m s-I. Besides the atmospheric effects the inhomogeneity of the vertical temperature distribution near the sea surface must be another major error factor in the sea surface temperature estimation by satellite remote sensing.

show abstract

Application of nonlinear multi-channel algorithms for estimating sea surface temperature with NOAA-14 AVHRR data

2000

Chin. J. Ocean. Limnol.

View full text Add to dashboard Cite

Air-sea interacting effects to the sea surface temperature observation by NOAA/AVHRR

Cited by 14 publications

References 15 publications

Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: Validation and feasibility study

Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: Validation and feasibility study

Sea surface effects on the sea surface temperature estimation by remote sensing

Application of nonlinear multi-channel algorithms for estimating sea surface temperature with NOAA-14 AVHRR data

Contact Info

Product

Resources

About