Giter Club home page Giter Club logo

Comments (6)

zhenyicun avatar zhenyicun commented on September 3, 2024

您好,1.77的单位是cm,0.024的单位是m吧?应该是能调到1.77cm的,能不能更低我不清楚。我记得主要是调整观测误差的协方差R,空间局部化和时间局部化半径,另外还有对于t时刻的状态,可以考虑[t-nd, t+nd]这个时间段的观测,而不仅仅是t时刻的观测,nd代表n天。您可以说说上面那些参数您怎么选取的吗?

from 3da_code.

qjuanr avatar qjuanr commented on September 3, 2024

您好!我选取了四个参数Loc_H、s_spat、s_temp和R,在一定范围内遍历出RMSE最小值。另外,插值窗口控制的参数r_spat和空间相关标度参数s_spat取值相同。对此您有什么建议吗?

from 3da_code.

zhenyicun avatar zhenyicun commented on September 3, 2024

这些参数具体值是多少呢?还有nd有选吗?

from 3da_code.

qjuanr avatar qjuanr commented on September 3, 2024

您说的nd是不是参数s_temp?
我们做的是10km的模式数据,参数选取分别为Loc_H=1, r_spat=1.5, s_spat=1.5, r_temp=48, s_temp=7, R=0.001, RMSE得到的结果是0.109,结果不好,而且插值后出的图里有轨道经过的痕迹,请问您知道这是因为什么吗?

from 3da_code.

zhenyicun avatar zhenyicun commented on September 3, 2024

您好,我没有试过更高解析度的数据,所以只能提供一些想法。空间解析度增加时,可以看见更多小尺度的运动,所以你做重分析时用的观测可能需要用更小的空间局部化半径和时间局部化半径,但这导致的后果就是观测可能太少。所以建议你选一个有更多卫星的年份,然后再调参数。

from 3da_code.

zhenyicun avatar zhenyicun commented on September 3, 2024

如果你的观测较少,还有一种思路是把你的变量分解为大尺度部分和小尺度部分,然后用你的卫星观测对大尺度部分做重分析,然后再把大尺度和小尺度部分合并。

from 3da_code.

Related Issues (7)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.