Results 51 to 60 of about 2,737 (182)
Microwave radiometer linearity measured by simple means [PDF]
Modern spaceborne radiometer systems feature an almost perfect on-board calibration, hence the primary calibration task to be carried out before launch is a check of radiometer linearity. This paper describes two ways of measuring linearity of microwave radiometers only requiring relatively simple equipment.
openaire +1 more source
Abstract This study investigates how climatological temperature fields in simulations are influenced by the choice of moist thermodynamic formulations. Two formulations were compared: one developed to ensure internal thermodynamic consistency, and a simpler approximation similar to those commonly used in meteorological and climate models.
Tomoki Ohno, Shuhei Matsugishi
wiley +1 more source
This study investigates the impacts of the joint assimilation of ground-based microwave radiometer (MWR) and FY-3D microwave sounder (MWTS-2/MWHS-2) observations on the analyses and forecasts for precipitation forecast.
Bingli Wang +8 more
doaj +1 more source
Tomographic retrieval of cloud liquid water fields from a single scanning microwave radiometer aboard a moving platform – Part 1: Field trial results from the Wakasa Bay experiment [PDF]
Tomographic methods offer great potential for retrieving three-dimensional spatial distributions of cloud liquid water from radiometric observations by passive microwave sensors.
D. Huang, A. J. Gasiewski, W. Wiscombe
doaj +1 more source
Development of an IEEE Standard for Calibration of Microwave Radiometers
In January 2019 a Project Authorization Request was submitted to the IEEE standards association with the title "Standard for Calibration of Microwave Radiometers in the 300 MHz to 1 THz Frequency Range for Geoscience Applications". An open committee is being assembled to draft this standard with the purpose of unifying and documenting calibration ...
Houtz, Derek +5 more
openaire +1 more source
Improving Inter‐Satellite Tropical Cyclone Precipitation Consistency by Deep Learning
Abstract The Global Precipitation Measurement mission satellite constellation comprises multiple satellites that produce widely used global tropical cyclone precipitation estimates. The quality of precipitation estimates among these satellites varies significantly due to differences in mission purpose, channel availability, and spatial resolution ...
Yalei You +8 more
wiley +1 more source
Determination of low-level temperature profiles from microwave radiometer observations during rain [PDF]
Usually, microwave radiometer observations have to be discarded during rain. The radomes of the receiver antenna get wet, which hampers accurate measurements since the retrieval algorithms to derive atmospheric quantities are not trained for rain events.
A. Foth +3 more
doaj +1 more source
Measurement(s) radio wave radiation • far-infrared radiation Technology Type(s) microwave radiometer Factor Type(s) brightness temperature Sample Characteristic - Environment planetary atmosphere Sample Characteristic - Location Arctic ...
Andreas Walbröl +9 more
doaj +1 more source
Abstract Snow depth remains one of the largest sources of uncertainty in satellite‐derived sea ice thickness (SIT). Here, we introduce the novel Nadir Radiometer and Radar Synergy (NaRRS) method that combines data from Sentinel‐3's Microwave Radiometer (MWR) and Synthetic Aperture Radar Altimeter (SRAL) to retrieve Arctic snow depth on sea ice.
Connor Nelson +8 more
wiley +1 more source
Machine Learning Reveals Hidden Bias in ERA5 Cloud Heights Over Earth's Third Pole
Abstract Accurate cloud base height (CBH) over the Tibetan Plateau—Earth's Third Pole—is essential for monsoon dynamics, glacial melt, and water security, yet ERA5 systematically underestimates it. Here, we present a two‐step machine learning framework to mitigate this hidden bias.
W. Zhao +9 more
wiley +1 more source

