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阿弥陀佛

街树飘影未见尘 潭月潜水了无声 般若观照心空静...

 
 
 
 
 
 

四川省 成都市

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一直从事气象预报、服务建模实践应用。 注重气象物理场、实况场、地理信息、本体知识库、分布式气象内容管理系统建立。 对Barnes客观分析, 小波,计算神经网络、信任传播、贝叶斯推理、专家系统、网络本体语言有一定体会。 一直使用Java、Delphi、Prolog、SQL编程。
 
近期心愿潭深流水缓, 德高言语迟, 境随心转,法从心出, 知性为自然立法, 分布式地球科学内容管理。
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[置顶] 心经

2008-5-25 11:11:33 阅读1169 评论5 252008/05 May25

观自在菩萨,行深般若波罗蜜多时,照见五蕴皆空,度一切苦厄。舍利子,色不异空,空不异色,色即是空,空即是色,受想行识, 亦复如是。舍利子,是诸法空相,不生不灭, 不垢不净,不增不减。是故空中无色,无受想行识,无眼耳鼻舌身意,无色声香味触法, 无眼界,乃至无意识界,无无明,亦无无明尽,乃至无老死,亦无老死尽。无苦集灭道, 无智亦无得,以无所得故。菩提萨陲,依般若波罗蜜多故,心无挂碍,无挂碍故,无有恐怖,远离颠倒梦想,究竟涅盘。三世诸佛, 依般若波罗蜜多故,得阿耨多罗三藐三菩提。故知般若波罗蜜多是大神咒,是大明咒, 是无上咒,是无等等咒,能除一切苦,真实不虚。故说般若波罗蜜多咒,即说咒曰:揭谛揭谛,波罗揭谛,波罗僧揭谛,菩提娑婆诃。

来自:http://baike.baidu.com/view/73651.htm

(2013-07-29 00 于成都)感悟心经:般若源于心,心静则为自在菩萨,法由心出。心静=心经。对于一个程序员,找到一个静态特征语言(如:scala,OWL),写出序为特征的静态结构程序,可以得到心经所描述的,无我的,普世的世界(仅仅是现阶段的参悟)。

(2013-10-28 于维也纳) 感悟心经:"色不异空,空不异色,色即是空,空即是色"是心经的中心思想。近期研究范畴论和scalaz,体会到:

1. 半群(semigroup)具有内生(endo)的特性,保证了类的自身衍生的能力,具有明显的“色”特征;但是,半群由于缺乏“幺”,而缺乏“基底”,使得fold,flodleft无法展开,故加入“空”,可以使群

作者  | 2008-5-25 11:11:33 | 阅读(1169) |评论(5) | 阅读全文>>

201708120350 融合参数调整前后对比

2017-8-12 12:22:17 阅读8 评论0 122017/08 Aug12

预报有降水的基数明显扩大,漏报率,击中率不变。表明降雨面积扩大后,评分未变。

时间,降水(降水级),击中率,空报率,漏报率,总样本,样本1,预报1,击中1,空报1,漏报1

201708120350,R_前1小时雨量(0.01mm),1.00,0.00,0.08,40402,7536,6974,6954,20,582

201708120350,R_前1小时雨量(0.10mm),1.00,0.00,0.04,40402,5833,5603,5580,23,253

201708120350,R_前1小时雨量(1.00mm),0.97,0.03,0.01,40402,3323,3373,3277,96,46

201708120350,R_前1小时雨量(5.00mm),0.99,0.01,0.02,40402,1085,1073,1059,14,26

201708120350,R_前1小时雨量(10.00mm),0.97,0.03,0.01,40402,437,447,432,15,5

201708120350,R_前1小时雨量(15.00mm),0.96,0.04,0.01,40402,229,236,227,9,2

201708120350,R_前1小时雨量(20.00mm),0.94,0.06,0.00,40402,126,134,126,8,0

201708120350,R_前1小时雨量(25.00mm),0.94,0.06,0.00,40402,75,80,75,5,0

作者  | 2017-8-12 12:22:17 | 阅读(8) |评论(0) | 阅读全文>>

201708081440 对比测试

2017-8-8 23:24:23 阅读2 评论0 82017/08 Aug8

numtree=30

nrepeat=1

时间,降水(降水级),击中率,空报率,漏报率,总样本,样本1,预报1,击中1,空报1,漏报1

201708081440,R_前1小时雨量(0.01mm),1.00,0.00,0.08,40746,4661,4301,4289,12,372

201708081440,R_前1小时雨量(0.10mm),1.00,0.00,0.06,40746,3201,3036,3024,12,177

201708081440,R_前1小时雨量(1.00mm),0.95,0.05,0.02,40746,1364,1399,1333,66,31

201708081440,R_前1小时雨量(5.00mm),0.97,0.03,0.02,40746,447,452,440,12,7

201708081440,R_前1小时雨量(10.00mm),0.96,0.04,0.00,40746,213,223,213,10,0

201708081440,R_前1小时雨量(15.00mm),0.97,0.03,0.01,40746,135,138,134,4,1

201708081440,R_前1小时雨量(20.00mm),0.91,0.09,0.00,40746,73,80,73,7,0

201708081440,R_前1小时雨量(25.00mm),0.91,0.09,0.07,40746,44,45,41,4,3

20

作者  | 2017-8-8 23:24:23 | 阅读(2) |评论(0) | 阅读全文>>

降水评分与IDV效果

2017-7-28 0:28:19 阅读9 评论0 282017/07 July28

作者  | 2017-7-28 0:28:19 | 阅读(9) |评论(0) | 阅读全文>>

HS_D_users_guide_en_v13

2017-7-25 17:49:22 阅读6 评论0 252017/07 July25

http://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/hsd_sample/HS_D_users_guide_en_v13.pdf

HS_D_users_guide_en_v13

作者  | 2017-7-25 17:49:22 | 阅读(6) |评论(0) | 阅读全文>>

作者  | 2017-6-21 14:08:04 | 阅读(11) |评论(0) | 阅读全文>>

building spark for python

2017-6-20 18:34:07 阅读13 评论0 202017/06 June20

参考1,参考2de >./build/mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.0 -DskipTests clean packagede>de >cd pythonde>de >python setup.py sdistde>

作者  | 2017-6-20 18:34:07 | 阅读(13) |评论(0) | 阅读全文>>

conda-forge / packages / netcdf4 1.2.9

2017-6-20 15:39:25 阅读11 评论0 202017/06 June20

conda-forge / packages / netcdf4 1.2.9

brew upgrade gdal

conda install basemap

https://jeffknupp.com/blog/2016/03/07/python-with-context-managers/

from netCDF4 import Dataset

import numpy as np

import matplotlib.pyplot as plt

from mpl_toolkits.basemap import Basemap

d = '/Users/hexianfeng/Desktop/prj/calf3/doc/nc/eleh/2016/20160907/'

n = 'MSP1_PMSC_ELEH_ME_L88_CHN_201609070410_00000-00000.nc'

dn = f'{d}{n}'

with Dataset(dn,mode = 'r') as fh:

作者  | 2017-6-20 15:39:25 | 阅读(11) |评论(0) | 阅读全文>>

build tensorflow from source code for macbook pro

2017-6-20 5:17:16 阅读14 评论0 202017/06 June20

https://www.tensorflow.org/install/install_sources

de >brew install bazel (de>brew upgrade bazel)

sudo pip install six numpy wheel

git clone https://github.com/tensorflow/tensorflow -b r1.2.0

git checkout r1.2

cd tensorflow

./configure

bazel build --config=opt //tensorflow/tools/pip_package:build_pip_packagebazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkgconda remove tensorflowconda create -n tensorflowsource activate tensorflowsudo pip install --ignore-installed --upgrade  /tmp/tensorflow_pkg/tensorflow-1.2.0-cp36-cp36m-macosx_10_7_x86_64.whl

作者  | 2017-6-20 5:17:16 | 阅读(14) |评论(0) | 阅读全文>>

anaconda with tensorflow

2017-6-19 22:29:02 阅读11 评论0 192017/06 June19

cd tensorflow

source activate tensorflow

conda install -c conda-forge tensorflow

source deactivate

作者  | 2017-6-19 22:29:02 | 阅读(11) |评论(0) | 阅读全文>>

2017年06月13日

2017-6-13 4:05:43 阅读6 评论0 132017/06 June13

201706121600#             PRS 应到: 11004, 实到: 10806, 缺测:    198, 到站率:0.982

201706121600#         PRS_Sea 应到: 11004, 实到: 10755, 缺测:    249, 到站率:0.977

201706121600#             TEM 应到: 45364, 实到: 43990, 缺测:   1374, 到站率:0.970

201706121600#             DPT 应到: 13296, 实到: 12500, 缺测:    796, 到站率:0.940

201706121600#             RHU 应到: 13296, 实到:  9416, 缺测:   3880, 到站率:0.708

201706121600#             VAP 应到: 13296, 实到: 12649, 缺测:    647, 到站率:0.951

201706121600#          PRE_1h 应到: 60750, 实到: 50328, 缺测:  10422, 到站率:0.828

201706121600#  

作者  | 2017-6-13 4:05:43 | 阅读(6) |评论(0) | 阅读全文>>

2017年06月12日

2017-6-13 0:02:36 阅读14 评论0 132017/06 June13

1.new dict

201706121500,P0_本站气压,-0.167,4.823,0.999,10251

201706121500,P1_海平面气压,-0.174,8.839,0.925,10210

201706121500,T_气温,-0.044,0.351,0.996,41795

201706121500,Td_露点,-0.033,0.959,0.991,11887

201706121500,Rh_相对湿度,-0.095,2.865,0.992,9288

201706121500,E_水汽压,-0.041,0.834,0.995,12117

201706121500,R_前1小时雨量,-0.002,0.133,0.995,48654

201706121500,DF0_2分钟风向,-0.110,19.163,0.980,24305

201706121500,DF1_2分钟风速,-0.046,0.345,0.978,28339

201706121500,T0_地面温度,-0.056,0.547,0.995,3055

201706121500,T05_05厘米地温,-0.067,0.542,0.994,2966

201706121500,T10_10厘米地温,-0.066,0.524,0.994,3061

201706121500,T15_15厘米地温,-0.053,0.582,0.993,2979

作者  | 2017-6-13 0:02:36 | 阅读(14) |评论(0) | 阅读全文>>

微量“听用”降水

2017-6-9 21:33:08 阅读33 评论0 92017/06 June9

微量(0.06——0.09)mm降水,在客观分析中,可以视为有降水,也可视为无降水。故在评分中,应该朝向有利于评分方向使用微量降水----“听用”降水

降雨评分中,对>=0.06的微量降水,在漏报统计中,作为降水,这样可以降低漏报率;在空报率中,对0.06—0.09的微量降水,按有利于评分的方向靠,这样可以降低空报率。

作者  | 2017-6-9 21:33:08 | 阅读(33) |评论(0) | 阅读全文>>

2017060200z小时雨量散布图问题

2017-6-2 10:49:34 阅读19 评论0 22017/06 June2

作者  | 2017-6-2 10:49:34 | 阅读(19) |评论(0) | 阅读全文>>

201705310000,100仍然存在

2017-5-31 11:21:31 阅读27 评论0 312017/05 May31

作者  | 2017-5-31 11:21:31 | 阅读(27) |评论(0) | 阅读全文>>

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