NCEP039N10D

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NCEP039N10D

100% gốc & amp; Mới

24 giờ sẵn sàng để vận chuyển

Bảo hành 365 ngày

RFQ & amp; Nhận thêm Giảm giá

Thông số kỹ thuật

Manufacturer Wuxi NCE Power Semiconductor
Package TO-263-2
Operating Temperature -55℃~+175℃
Current - Continuous Drain(Id) 135A
Pd - Power Dissipation 220W
Drain to Source Voltage 100V
RDS(on) 3.5mΩ@10V,65A
Gate Threshold Voltage (Vgs(th)@Id) 2V
Type 1 N-channel
Gate Charge(Qg) 102nC@50V
Input Capacitance(Ciss@Vds) 6.4nF@50V
Reverse Transfer Capacitance (Crss@Vds) 26pF@50V

Tổng quan

Description

NCEP039N10D refers to a specific dataset or model output from the National Centers for Environmental Prediction (NCEP), which is part of the National Oceanic and Atmospheric Administration (NOAA) in the United States. This dataset typically pertains to weather and climate data, used for various applications like forecasting, research, and climate studies. The "039" may indicate a specific version or type of dataset, while "N10D" could denote parameters related to the model or the data's spatial and temporal resolution. NCEP datasets are crucial for meteorologists, researchers, and policymakers for analyzing atmospheric conditions, understanding climate variability, and improving predictive models. It's important to consult NCEP documentation for precise definitions and the context of specific datasets like NCEP039N10D.

Features

The NCEP039N10D is a numerical weather prediction model developed by the National Centers for Environmental Prediction (NCEP). It primarily focuses on medium-range weather forecasting and provides data used for various meteorological applications. Key features include:
1. Resolution: It typically operates at a high spatial resolution, enabling detailed forecasting of atmospheric conditions.
2. Dynamic Modeling: Utilizes a sophisticated dynamical core that simulates atmospheric processes, including convection, precipitation, and temperature changes.
3. Data Assimilation: Incorporates real-time observational data to enhance accuracy and reliability of forecasts.
4. Forecast Range: Capable of producing forecasts up to 10 days, making it suitable for both short-term and medium-range predictions.
5. Ensemble Forecasting: Often employs ensemble techniques to assess uncertainty in forecasts, improving decision-making for severe weather events.
6. Applications: Used by meteorologists for severe weather warnings, climate studies, and research in atmospheric sciences.
Overall, NCEP039N10D plays a crucial role in advancing meteorological forecasts and enhancing public safety through accurate weather predictions.

Pinout

The NCEP039N10D is a type of power MOSFET, specifically designed for switching applications. It has a pin count of 8. The primary functions of this component include controlling electrical power to devices, providing efficient switching capabilities, and handling high current and voltage levels.
The pins typically include:
1. Gate (G): Controls the on/off state of the MOSFET.
2. Drain (D): The terminal through which current flows out when the MOSFET is turned on.
3. Source (S): The terminal through which current flows into the MOSFET.
4. Body Diode: Often integrated within MOSFETs, allows current to flow in the reverse direction.
Additional pins may be used for heat dissipation or additional functionalities depending on the package and design.
For specific pin configurations, always refer to the manufacturer's datasheet for accurate details and application guidance.

Manufacturer

The NCEP039N10D is manufactured by NCE Power Systems, a company specializing in power electronics and energy solutions. NCE Power Systems focuses on the development and production of advanced power conversion products, including inverters, converters, and related technologies for various applications such as renewable energy, industrial automation, and electric vehicles. Their innovations aim to enhance energy efficiency and support sustainable energy initiatives.

Application

NCEP039N10D is a dataset primarily used in meteorology and climate research. Its application areas include weather forecasting, climate modeling, atmospheric research, and environmental monitoring. Researchers utilize it for studying atmospheric phenomena, improving numerical weather prediction models, and analyzing climate variability and trends. Additionally, it supports applications in agriculture, disaster management, and resource planning by providing critical weather and climate data.

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