In this paper we derive the best constant for the following -type Gagliardo-Nirenberg interpolation inequality where parameters and satisfy the conditions , . The best constant is given by where is the unique radial non-increasing solution to a generalized Lane-Emden equation. The case of equality holds when for any real numbers , and . In fact, the generalized Lane-Emden equation in contains a delta function as a source and it is a Thomas-Fermi type equation. For or , have closed form solutions expressed in terms of the incomplete Beta functions. Moreover, we show that and as for , where and are the function achieving equality and the best constant of -type Gagliardo-Nirenberg interpolation inequality, respectively.
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Spectrally simplified approach for leveraging legacy geostationary oceanic observations
The use of multispectral geostationary satellites to study aquatic ecosystems improves the temporal frequency of observations and mitigates cloud obstruction, but no operational capability presently exists for the coastal and inland waters of the United States. The Advanced Baseline Imager (ABI) on the current iteration of the Geostationary Operational Environmental Satellites, termed the Series (GOES-R), however, provides sub-hourly imagery and the opportunity to overcome this deficit and to leverage a large repository of existing GOES-R aquatic observations. The fulfillment of this opportunity is assessed herein using a spectrally simplified, two-channel aquatic algorithm consistent with ABI wave bands to estimate the diffuse attenuation coefficient for photosynthetically available radiation, . First, anin situABI dataset was synthesized using a globally representative dataset of above- and in-water radiometric data products. Values of were estimated by fitting the ratio of the shortest and longest visible wave bands from thein situABI dataset to coincident,in situ data products. The algorithm was evaluated based on an iterative cross-validation analysis in which 80% of the dataset was randomly partitioned for fitting and the remaining 20% was used for validation. The iteration producing the median coefficient of determination ( ) value (0.88) resulted in a root mean square difference of , or 8.5% of the range in the validation dataset. Second, coincident mid-day images of central and southern California from ABI and from the Moderate Resolution Imaging Spectroradiometer (MODIS) were compared using Google Earth Engine (GEE). GEE default ABI reflectance values were adjusted based on a near infrared signal. Matchups between the ABI and MODIS imagery indicated similar spatial variability ( ) between ABI adjusted blue-to-red reflectance ratio values and MODIS default diffuse attenuation coefficient for spectral downward irradiance at 490 nm, , values. This work demonstrates that if an operational capability to provide ABI aquatic data products was realized, the spectral configuration of ABI would potentially support a sub-hourly, visible aquatic data product that is applicable to water-mass tracing and physical oceanography research.
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- Award ID(s):
- 1831937
- PAR ID:
- 10468343
- Publisher / Repository:
- Optica Publishing Group
- Date Published:
- Journal Name:
- Applied Optics
- Volume:
- 61
- Issue:
- 27
- ISSN:
- 1559-128X
- Page Range / eLocation ID:
- 7966
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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