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NWP | PGW | Order of Pressure levels of GRIB file

NWP | PGW | Order of Pressure levels of GRIB file

NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS NWP | ERA5 | GRIB1 and GRIB2 In GRIB files, the order of pressure levels is important because ma
2025-02-06
NWP
#WRF #NWP #MPAS #ERA5 #GFS #PGW #GRIB #NetCDF #CMIP6
NWP | ERA5 | GRIB1 and GRIB2

NWP | ERA5 | GRIB1 and GRIB2

WRF | GRIB1, GRIB2, NetCDF ERA5 CDS upgrade (2024 Sep) GRIB GRIB is a WMO format for gridded data. GRIB is used by the operational meteorological cente
2025-02-05
NWP
#WRF #NWP #MPAS #ERA5 #GFS #PGW #NetCDF #CMIP6 #GRIB1 #GRIB2
NWP | PGW | To prepare the ERA5 GRIB file

NWP | PGW | To prepare the ERA5 GRIB file

NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS NWP | ERA5 | GRIB1 and GRIB2 To prepare the ERA5 GRIB file from the modified era5_with_signal.nc
2025-02-05
NWP
#WRF #NWP #MPAS #ERA5 #GFS #PGW #GRIB #NetCDF #CMIP6
ML | AnythingLLM + Ollama

ML | AnythingLLM + Ollama

What is AnythingLLM? https://docs.useanything.com/introduction AnythingLLM is the easiest to use, all-in-one AI application that can do RAG, AI Agents, and much more with no code or infrastructure h
2025-02-04
ML
#ML #AI #Ollama #AnythingLLM
NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS

NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS

Introduction Keywords: The Pseudo-Global-Warming (PGW) approach CMIP6 how to convert ERA5 GRIB files to NetCDF format GRIB files are the file format used at ECMWF. GRIB is a WMO standard and consists
2025-02-03
NWP
#WRF #NWP #MPAS #ERA5 #GFS #PGW #GRIB #NetCDF #CMIP6
Maths | 黎曼猜想/解析延拓/素數計數函數

Maths | 黎曼猜想/解析延拓/素數計數函數

Euler Product Formula The Euler product formula is a significant result in number theory that connects the Riemann zeta function to prime numbers. It states that the Riemann zeta function can be expre
2025-02-01
Maths
#NWP #ML #AI
ML | Ollama

ML | Ollama

Ollama Ollama是一個開源工具,旨在直接在本地機器上運行大型語言模型(LLMs),增強用戶的隱私和性能。它使開發者、研究人員和企業能夠利用強大的人工智能模型,而無需依賴基於雲的解決方案,從而保持對數據的完全控制並降低與外部伺服器相關的潛在安全風險。 Ollama的主要特點 本地執行:Ollama使得在本地執行LLMs成為可能,這減輕了隱私問題並增強了數據安全性。這意味著用戶不需要將敏感
2025-01-30
ML
#ML #AI #Ollama
ML | DeepSeek

ML | DeepSeek

DeepSeek (深度求索),全稱杭州深度求索人工智能基礎技術研究有限公司,是中國的一家人工智能與大型語言模型公司。該公司的總部位於中國大陸浙江省杭州市,由中資對沖基金幻方量化創立,創始人和行政總裁為梁文鋒。DeepSeek因其在推理任務上的表現與OpenAI的ChatGPT相當,但開發成本和資源消耗卻僅為其一小部分而受到廣泛關注。 DeepSeek Model DeepSeek-R1 and
2025-01-30
ML
#NWP #ML #AI #deepseek
ML | Transformer | Attention, FFN, ResNet

ML | Transformer | Attention, FFN, ResNet

"Attention is all you need" (2017) Vaswani, A. (2017). Attention is all you need. Advances in Neural Information Processing Systems. Encoder層和Decoder層內部結構如圖所示。 Encoder具有兩層結構,self-attention和前饋神經網路。
2025-01-30
ML
#NWP #ML #AI #ResNet #RNN #Transformer #Attention #FFN
ML | Frequentist and Bayesian (頻率派 和 貝葉斯派)

ML | Frequentist and Bayesian (頻率派 和 貝葉斯派)

貝葉斯派和頻率派。在學習機器學習的過程中,應該聽過很多次這兩個專業詞彙,剛開始學不用過於深究,這不會影響你學習各種模型,當你了解完很多模型演算法後,再回過頭來看貝葉斯派和頻率派,就會有種醍醐灌頂的感覺,你在每種模型上都可以找到它們的哲學思想、方法論。 貝葉斯公式: \(P(\theta|x)=\frac{P(x|\theta)P(\theta)}{P(x)}\) 先驗機率指的是 \(P(\the
2025-01-30
ML
#NWP #ML #AI
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