我正在尝试将以下二进制文件转换为十进制矩阵：
http://ftp.cptec.inpe.br/modelos/io/tempo/regional/Eta40km_ENS/prec24/2017052812/pp20170528_0024.bin
该文件涉及巴西某些地理区域的水文测量级别
矩阵的尺寸应为[144,157]。 我试图使用的以下代码不会产生预期的结果（维度），也不会产生正确的降雨量（通常它应该显示0到200之间的数字）。
series_URL <- "http://ftp.cptec.inpe.br/modelos/io/tempo/regional/Eta40km_ENS/prec24/2017052812/pp20170528_0024.bin"
temp_1 <- tempfile()
download.file(series_URL,temp_1)
series_data <- readBin(temp_1, integer(), 157, size = 12)
输出：
1. [1] 6.117009e-28 1.918706e-26 5.632241e-26 4.031371e-26 1.610915e-26 6.696818e-28 1.031170e-28
2. [8] 7.196306e-29 2.134588e-26 2.617492e-25 1.529918e-24 5.790051e-22 3.294055e-18 2.576926e-21
3. [15] 4.624857e-14 2.101807e-11 7.428920e-12 4.827435e-14 8.710901e-16 1.533932e-10 5.958279e-10
4. [22] 1.927221e-08 3.222763e-12 2.217207e-07 2.911737e-05 5.785809e-03 3.240025e+00 1.948279e+01
5. [29] 3.328233e-01 1.491561e-05 2.504128e-11 5.806955e-25 0.000000e+00 0.000000e+00 0.000000e+00
6. [36] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 7.526874e-14
7. [43] 1.743083e-07 1.210642e-05 4.649596e-04 2.202887e-01 2.431919e-01 4.425891e-01 3.531607e+00
8. [50] 5.306091e-315 0.000000e+00 1.457468e+00 4.544175e-02 7.958694e-05 5.449028e-08 3.995853e-10
9. [57] 1.640078e-14 1.989274e-15 1.073701e-10 1.934239e-14 2.930132e-11 6.641559e-23 1.061018e-26
10. [64] 1.578544e-17 2.620794e-37 5.464423e-44 7.958314e-44 5.238045e-46 9.309669e-59 0.000000e+00
11. [71] 0.000000e+00 4.400491e-23 8.166333e-19 6.828827e-18 3.376732e-18 1.547543e-18 1.626203e-19
12. [78] 1.176210e-20 1.472164e-21 4.558449e-22 1.056857e-21 5.552315e-21 1.214248e-20 4.670482e-20
13. [85] 3.427503e-18 5.521386e-19 6.161359e-15 3.035510e-12 1.279961e-12 1.686678e-13 2.518800e-15
14. [92] 4.103846e-11 3.123834e-08 2.791977e-09 2.297828e-11 1.196714e-09 1.754792e-06 8.313848e-05
15. [99] 3.953890e-02 2.554013e+01 8.521120e+01 1.288987e+00 1.203942e-04 9.161328e-09 5.437597e-16
16. [106] 4.986266e-315 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
17. [113] 0.000000e+00 1.266409e-20 3.181196e-09 9.675489e-07 5.719614e-05 3.281916e-04 7.979276e-03
18. [120] 7.910658e-02 6.103178e-01 2.789717e+00 0.000000e+00 3.321379e-01 1.508044e-02 5.727718e-06
19. [127] 1.889389e-09 5.041999e-16 7.681076e-19 1.456306e-20 1.351600e-12 1.873332e-13 2.032801e-12
20. [134] 1.943675e-47 2.082875e-20 2.344611e-19 1.232857e-48 8.101694e-47 3.536543e-46 6.575080e-49
21. [141] 5.945790e-55 2.474903e-26 4.272799e-18 1.126914e-14 4.022795e-14 9.839206e-14 1.570162e-14
22. [148] 6.422801e-15 3.428481e-16 1.087516e-17 1.357747e-18 1.415265e-19 1.237552e-19 3.247390e-19
23. [155] 8.213019e-19 6.309748e-16 7.546767e-15